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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. 9-RES-JB
    11. 17267
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    INDEX
    Explanations

    potential scenarios or possibilities

    oai_token-act-pair · gpt-3.5-turbo

    statements involving potential possibilities or uncertainties

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     rall
    -0.70
    rones
    -0.68
    plex
    -0.64
     Notting
    -0.63
     Blitz
    -0.63
     Pear
    -0.62
    retion
    -0.61
     Newspaper
    -0.60
    ablishment
    -0.59
    ĸļ
    -0.58
    POSITIVE LOGITS
     construed
    1.21
     forgiven
    1.07
     avoided
    1.01
     feas
    0.95
     interpreted
    0.94
     considered
    0.90
     likened
    0.88
     exploited
    0.85
     traced
    0.85
     easily
    0.84
    Activations Density 0.104%

    No Known Activations