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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. 6602
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    Explanations

    references to proper nouns of particular ethnic or religious significance

    oai_token-act-pair · gpt-3.5-turbo

    mentions of certain ethnic or cultural identifiers

    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
    ORED
    -0.84
    aic
    -0.75
    icit
    -0.74
    ODY
    -0.73
    esi
    -0.72
    cious
    -0.71
    oration
    -0.70
    IBLE
    -0.69
    icate
    -0.68
     Colleg
    -0.68
    POSITIVE LOGITS
    ¯¯¯¯
    0.87
    intosh
    0.80
    eworks
    0.76
     advoc
    0.76
    pton
    0.75
    loo
    0.74
    emade
    0.71
    apers
    0.70
    eman
    0.69
    atives
    0.69
    Activations Density 0.022%

    No Known Activations