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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. 5302
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    Explanations

    mentions of fur-related terms, such as "fur hat" and "fur coats."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of fur and related terms

    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
    ysis
    -0.84
     Howell
    -0.68
     Meier
    -0.66
    ONES
    -0.65
     Mald
    -0.65
     Bernstein
    -0.64
     Rez
    -0.64
    icts
    -0.63
    ECH
    -0.61
     Administ
    -0.61
    POSITIVE LOGITS
    thur
    1.26
    rier
    1.13
    rows
    1.13
    rowing
    1.08
    fur
    1.03
    riers
    1.02
    balls
    1.00
    ball
    1.00
    ried
    0.97
    row
    0.97
    Activations Density 0.041%

    No Known Activations