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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. 10-RES-JB
    11. 8258
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    INDEX
    Explanations

    phrases indicating potential or future outcomes

    oai_token-act-pair · gpt-3.5-turbo

    repeated phrases indicating potential states or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    rones
    -0.68
    retion
    -0.67
     rall
    -0.65
    istent
    -0.64
     Dear
    -0.64
    ogun
    -0.61
     Regular
    -0.60
    plex
    -0.60
     Blitz
    -0.60
     Clear
    -0.59
    POSITIVE LOGITS
     construed
    1.25
     avoided
    1.11
     forgiven
    1.02
     interpreted
    0.96
     feas
    0.94
     traced
    0.94
     likened
    0.94
     prevented
    0.90
     considered
    0.87
     exploited
    0.87
    Activations Density 0.087%

    No Known Activations