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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. 4043
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    Explanations

    descriptions of sports events or activities

    oai_token-act-pair · gpt-3.5-turbo

    sports-related events and outcomes

    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
    .","
    -0.71
    %.
    -0.68
     compan
    -0.66
    .</
    -0.65
    yond
    -0.64
    .).
    -0.64
    ilus
    -0.63
    ''.
    -0.63
     oneself
    -0.61
    externalActionCode
    -0.61
    POSITIVE LOGITS
     scrimmage
    0.77
     yesterday
    0.69
     Thursday
    0.64
     shootout
    0.63
    ursday
    0.62
     Chrysler
    0.61
    successfully
    0.59
     deregulation
    0.58
     lockdown
    0.58
     unanimously
    0.58
    Activations Density 0.979%

    No Known Activations