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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. 2-RES-JB
    11. 4341
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    INDEX
    Explanations

    instances where the text is indicating expectations and results

    oai_token-act-pair · gpt-3.5-turbo

    modal verbs indicating possibility or capability

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    score
    -0.85
    enegger
    -0.84
    nets
    -0.79
    temp
    -0.77
    gru
    -0.75
    mark
    -0.75
    spring
    -0.74
    su
    -0.74
    akov
    -0.73
    lights
    -0.73
    POSITIVE LOGITS
     Pearce
    0.70
     unrelated
    0.67
     Kinnikuman
    0.66
     dehuman
    0.66
     endeav
    0.65
     tyr
    0.64
     tuber
    0.63
     conclud
    0.63
     disregard
    0.62
     Indigenous
    0.62
    Activations Density 0.000%

    No Known Activations