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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. 9-RES-JB
    11. 19819
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    Explanations

    explicit nouns or entities mentioned as part of a distinct, usually legal or political context

    oai_token-act-pair · gpt-3.5-turbo

    legal and political terms or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥĦ
    -0.78
    taboola
    -0.78
    quickShipAvailable
    -0.73
    adem
    -0.69
    auc
    -0.66
    soType
    -0.66
    kefeller
    -0.65
    \\\\\\\\
    -0.63
    flush
    -0.63
    fw
    -0.62
    POSITIVE LOGITS
     what
    1.02
     how
    0.84
     some
    0.84
     whether
    0.80
     those
    0.80
     any
    0.79
    those
    0.78
     an
    0.75
     everything
    0.74
     the
    0.73
    Activations Density 0.388%

    No Known Activations