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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. 11-RES-JB
    11. 10036
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    words relating to evaluations and assessments of quality or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    .?
    -0.74
    .''.
    -0.71
    $.
    -0.67
    .''
    -0.64
    .):
    -0.62
    `.
    -0.62
    %).
    -0.61
    .).
    -0.60
    thia
    -0.58
    >.
    -0.58
    POSITIVE LOGITS
    ,[
    0.96
     (),
    0.93
     anecd
    0.92
     technically
    0.89
     (~
    0.87
     nowadays
    0.83
    *,
    0.79
     theoretically
    0.77
    ,
    0.76
     nevertheless
    0.74
    Activations Density 0.341%

    No Known Activations