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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. 19704
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    INDEX
    Explanations

    adjectives or phrases emphasizing strong contrast or vivid difference

    oai_token-act-pair · gpt-3.5-turbo

    references to stark contrasts and inequalities

    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
    annis
    -0.74
    phis
    -0.73
    uthor
    -0.71
    ipop
    -0.70
     diligently
    -0.69
    andom
    -0.67
    hops
    -0.66
    amina
    -0.66
    glomer
    -0.66
    PU
    -0.65
    POSITIVE LOGITS
     contrasts
    1.14
    ly
    1.01
     contrast
    1.00
     stark
    0.91
     contrasting
    0.83
     naked
    0.79
    est
    0.78
    itudes
    0.77
    iary
    0.77
    itud
    0.76
    Activations Density 0.011%

    No Known Activations