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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. 4-RES-JB
    11. 1191
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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

    No Comments

    Negative Logits
    esan
    -0.70
    ership
    -0.68
    raid
    -0.62
    noon
    -0.60
    plane
    -0.59
     attrition
    -0.58
    prison
    -0.58
    Syrian
    -0.58
    Minnesota
    -0.57
    agle
    -0.56
    POSITIVE LOGITS
    mith
    1.31
    paces
    1.14
    ynthesis
    1.10
    uits
    1.08
    ystem
    1.06
    afety
    1.03
    ensitive
    0.99
    pace
    0.97
    hips
    0.96
    olutions
    0.96
    Activations Density 0.102%

    No Known Activations