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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. 23499
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    Explanations

    phrases related to specific locations or circumstances that lead to actions or consequences

    oai_token-act-pair · gpt-3.5-turbo

    specific terms and phrases related to problems or challenges

    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
    %);
    -0.62
     showc
    -0.55
    OTOS
    -0.54
    ajor
    -0.54
    olute
    -0.53
     widened
    -0.52
    %).
    -0.49
    anqu
    -0.49
     Cutter
    -0.48
     GN
    -0.47
    POSITIVE LOGITS
     then
    1.05
     please
    0.97
    then
    0.95
     THEN
    0.92
     anymore
    0.91
     PLEASE
    0.82
    ?,
    0.80
     you
    0.76
    Then
    0.73
     or
    0.72
    Activations Density 0.661%

    No Known Activations