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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 6-RES-JB
    11. 2754
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to hard work and effort

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    amera
    -0.75
    vironment
    -0.69
    idas
    -0.67
    uana
    -0.66
    tymology
    -0.64
    que
    -0.63
     Defenders
    -0.60
    ortium
    -0.60
    CEPT
    -0.60
    minent
    -0.59
    POSITIVE LOGITS
     grind
    1.00
    ingly
    1.00
    sheet
    0.97
    stone
    0.96
     Grind
    0.86
    rice
    0.84
    nuts
    0.83
    aign
    0.82
    shaw
    0.81
    itude
    0.81
    Activations Density 0.023%

    No Known Activations