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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. 8-RES-JB
    11. 1799
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    INDEX
    Explanations

    competitive gaming-related terms and scores

    oai_token-act-pair · gpt-3.5-turbo

    references to various games and scores

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hist
    -0.98
    mp
    -0.86
    serv
    -0.85
    phot
    -0.84
    artifacts
    -0.83
    mob
    -0.82
    eg
    -0.81
    pub
    -0.80
    gary
    -0.80
    ****************
    -0.80
    POSITIVE LOGITS
     3
    0.93
     2
    0.93
     1
    0.91
     4
    0.89
     XI
    0.87
     VII
    0.84
     8
    0.84
     ½
    0.82
     6
    0.82
     7
    0.80
    Activations Density 0.080%

    No Known Activations