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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. 7-RES-JB
    11. 15678
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    Explanations

    strong emphasis on specific numbers or codes

    oai_token-act-pair · gpt-3.5-turbo

    numerical values or codes related to specifications or identifiers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    netflix
    -0.83
    rely
    -0.73
    TextColor
    -0.73
    inic
    -0.65
    stood
    -0.64
    rette
    -0.64
    unct
    -0.64
    ques
    -0.63
    deen
    -0.60
    inas
    -0.60
    POSITIVE LOGITS
    acity
    1.08
     Downing
    0.91
    th
    0.86
    586
    0.83
    ^{
    0.83
    Gb
    0.83
    40
    0.83
    %"
    0.82
    tons
    0.82
    84
    0.80
    Activations Density 0.073%

    No Known Activations