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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. 19241
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    INDEX
    Explanations

    numerical information related to measurements such as temperature, weight, percentages, and counts

    oai_token-act-pair · gpt-3.5-turbo

    numerical data or statistics

    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
    bro
    -0.63
    lay
    -0.60
     REPORT
    -0.58
    Agent
    -0.56
    LET
    -0.54
     Parish
    -0.54
     Webster
    -0.54
     Reynolds
    -0.54
    recogn
    -0.52
     Toast
    -0.52
    POSITIVE LOGITS
    +.
    0.97
    %.
    0.89
    cm
    0.87
    kg
    0.78
     apiece
    0.78
    ½
    0.78
    +,
    0.78
    %;
    0.76
     consecutive
    0.76
    mm
    0.73
    Activations Density 0.243%

    No Known Activations