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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. 7041
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    INDEX
    Explanations

    descriptions of scenes or settings in a visual media

    oai_token-act-pair · gpt-3.5-turbo

    references to specific scenes in various films or stories

    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
    Not in Any Lists

    No Comments

    Negative Logits
    raft
    -0.89
    profits
    -0.86
    resy
    -0.77
    League
    -0.76
    bred
    -0.75
    profit
    -0.74
    ebook
    -0.72
     hobby
    -0.71
    ongyang
    -0.69
    SAN
    -0.69
    POSITIVE LOGITS
     flashback
    1.27
     scenes
    1.26
     narration
    1.26
     Scenes
    1.22
     mont
    1.17
     flashbacks
    1.15
     climax
    1.14
     sequence
    1.14
     cinematic
    1.12
     sequences
    1.10
    Activations Density 0.511%

    No Known Activations