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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. 4-RES-JB
    11. 11306
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    Explanations

    the word "much" emphasized in sentences

    oai_token-act-pair · gpt-3.5-turbo

    statements emphasizing the lack of abundance or quantity

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

    No Comments

    Negative Logits
    idon
    -0.91
    İĭ
    -0.83
    yne
    -0.83
    zanne
    -0.79
    yg
    -0.78
    pez
    -0.77
    ibel
    -0.76
    achusetts
    -0.74
    eneg
    -0.74
    adia
    -0.74
    POSITIVE LOGITS
     else
    0.94
     ado
    0.92
     avail
    0.91
     consolation
    0.85
     longer
    0.78
     appreciated
    0.78
     fuss
    0.74
     luck
    0.74
     bom
    0.71
     nor
    0.71
    Activations Density 0.034%

    No Known Activations