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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. 5743
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    Explanations

    phrases indicating a lack of comment or response to a specific inquiry

    oai_token-act-pair · gpt-3.5-turbo

    instances of commentary or statements in reports

    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
    ãĤ³
    -0.72
    soDeliveryDate
    -0.69
    eas
    -0.68
    ãĥīãĥ©
    -0.66
    OGR
    -0.66
    fuck
    -0.66
    Cath
    -0.66
    tail
    -0.64
    à¨
    -0.64
    ptin
    -0.64
    POSITIVE LOGITS
     specifics
    1.36
     behalf
    1.12
     whether
    1.06
     allegations
    0.95
     pending
    0.95
     specific
    0.94
     speculation
    0.93
     particulars
    0.93
     why
    0.93
     matters
    0.89
    Activations Density 0.107%

    No Known Activations