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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. 1237
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    Explanations

    proper nouns related to events, activities, or achievements

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "first"

    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
    tics
    -0.72
    md
    -0.70
    til
    -0.68
    behind
    -0.68
    rent
    -0.67
    politics
    -0.66
    seek
    -0.64
    lag
    -0.64
    terness
    -0.63
    bringing
    -0.63
    POSITIVE LOGITS
     ever
    1.24
     EVER
    1.05
     batch
    1.00
     responders
    0.94
     foray
    0.94
     glimpse
    0.92
     installment
    0.91
     incarnation
    0.87
     iteration
    0.85
     baseman
    0.82
    Activations Density 0.094%

    No Known Activations