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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. 4051
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    INDEX
    Explanations

    phrases indicating possible or potential outcomes or consequences

    oai_token-act-pair · gpt-3.5-turbo

    expressions indicating potential or possibility

    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
    ger
    -0.86
    rike
    -0.80
    baugh
    -0.75
    board
    -0.74
    rend
    -0.73
    ogie
    -0.73
    oise
    -0.71
    gers
    -0.70
     Plate
    -0.70
    geist
    -0.69
    POSITIVE LOGITS
     jeopard
    0.86
     sidx
    0.85
     feas
    0.82
     conclud
    0.80
     disrupt
    0.78
     synerg
    0.77
     exting
    0.75
     cumbers
    0.75
     identifiable
    0.74
    TPPStreamerBot
    0.72
    Activations Density 0.007%

    No Known Activations