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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. 16679
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    Explanations

    words related to achievements and actions

    oai_token-act-pair · gpt-3.5-turbo

    references to completion or finality in activities or events

    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
    selves
    -0.79
     selves
    -0.66
    omever
    -0.65
     theirs
    -0.65
    process
    -0.62
    each
    -0.61
    Compar
    -0.61
    Need
    -0.61
    Change
    -0.60
    Give
    -0.59
    POSITIVE LOGITS
     arra
    0.77
     landfall
    0.70
     rejo
    0.69
     Joined
    0.67
     unbeaten
    0.66
     stint
    0.65
     vocals
    0.64
     survived
    0.64
     fielder
    0.63
     himself
    0.62
    Activations Density 0.785%

    No Known Activations