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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. 5647
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    INDEX
    Explanations

    words related to actions or events occurring in a specific context

    oai_token-act-pair · gpt-3.5-turbo

    statements about the state or condition of subjects or entities

    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
    aughs
    -0.81
    rouse
    -0.79
    Few
    -0.76
    Notable
    -0.76
    ients
    -0.75
    Adds
    -0.74
     motivations
    -0.73
    Players
    -0.73
    Reviewer
    -0.72
     departures
    -0.70
    POSITIVE LOGITS
     located
    1.03
     titled
    0.82
     yours
    0.81
     housed
    0.76
     ours
    0.75
     redacted
    0.75
     dated
    0.75
     called
    0.75
     spelled
    0.74
     sunny
    0.74
    Activations Density 0.618%

    No Known Activations