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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. 3-RES-JB
    11. 23318
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    INDEX
    Explanations

    superlatives or words indicating extremes

    oai_token-act-pair · gpt-3.5-turbo

    superlative forms of adjectives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    krit
    -0.76
     Moroc
    -0.74
    kas
    -0.73
    chwitz
    -0.71
    Þ
    -0.67
    olor
    -0.66
    ilater
    -0.66
    pers
    -0.65
    perty
    -0.65
    bara
    -0.63
    POSITIVE LOGITS
     imaginable
    0.99
    hest
    0.90
    est
    0.87
     conceivable
    0.82
    liest
    0.81
    ream
    0.80
    imated
    0.75
     possible
    0.72
    iest
    0.71
    seller
    0.71
    Activations Density 0.018%

    No Known Activations