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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. 4956
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    INDEX
    Explanations

    prepositions followed by nouns indicating removal or separation

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate origin or extraction

    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
    retty
    -0.83
    ril
    -0.75
    ratulations
    -0.72
    ãĤ¦ãĤ¹
    -0.70
    ema
    -0.69
    Week
    -0.67
    endish
    -0.66
    few
    -0.63
    cott
    -0.62
    atto
    -0.61
    POSITIVE LOGITS
     whence
    1.29
     afar
    1.19
     beneath
    1.19
     underneath
    1.15
     obscurity
    1.06
     behind
    0.97
     thence
    0.93
     atop
    0.92
     under
    0.87
     within
    0.83
    Activations Density 0.125%

    No Known Activations