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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. 11-RES-JB
    11. 5473
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    INDEX
    Explanations

    mentions of the word "fur"

    oai_token-act-pair · gpt-3.5-turbo

    references to fur and its related contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ysis
    -0.80
     Mald
    -0.72
     Rez
    -0.67
     Mub
    -0.64
     Bernstein
    -0.62
     Dialogue
    -0.61
     Syri
    -0.61
     Miranda
    -0.61
     Shutdown
    -0.60
     Beverly
    -0.59
    POSITIVE LOGITS
    thur
    1.33
    rier
    1.18
    rows
    1.17
    row
    1.11
    rowing
    1.11
    riers
    1.05
    ries
    1.04
    ried
    0.97
    uit
    0.96
    isode
    0.95
    Activations Density 0.059%

    No Known Activations