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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 10544
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    Explanations

    locations or specific places, particularly mountains such as Mt. Everest

    oai_token-act-pair · gpt-3.5-turbo

    references to specific mountains and locations associated with them

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
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    Interstitial
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     IMAGES
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    SHIP
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     briefs
    -0.67
    thro
    -0.66
    BACK
    -0.65
    interstitial
    -0.64
    makers
    -0.64
    served
    -0.63
    POSITIVE LOGITS
    awar
    1.17
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    1.01
    unia
    0.89
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    0.82
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    0.81
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    0.81
    umble
    0.81
    acular
    0.81
    iami
    0.80
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    0.80
    Activations Density 0.012%

    No Known Activations