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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. 10-RES-JB
    11. 5313
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    INDEX
    Explanations

    words related to stability or emphasis, such as "stand" or "stood"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "stand" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ricular
    -0.79
    allo
    -0.62
    javascript
    -0.61
    versive
    -0.60
    EStreamFrame
    -0.60
     Escape
    -0.60
    sbm
    -0.60
    EStream
    -0.59
    Lear
    -0.59
    uristic
    -0.59
    POSITIVE LOGITS
    still
    0.94
     testament
    0.87
     tall
    0.86
     alone
    0.82
    Reviewed
    0.81
     squarely
    0.81
     tallest
    0.80
     firm
    0.78
     taller
    0.75
     ath
    0.75
    Activations Density 0.021%

    No Known Activations