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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 24114
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    INDEX
    Explanations

    references to or mentions of individuals named "Sher" or similar names like "Sheryl" or "Sherrod"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Sher."

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     Gutenberg
    -0.98
    vernment
    -0.70
    lihood
    -0.69
     Staten
    -0.64
    LECT
    -0.62
     Codec
    -0.62
     INF
    -0.61
     grav
    -0.60
     limited
    -0.60
     Gujar
    -0.58
    POSITIVE LOGITS
    iffs
    1.14
    iff
    0.98
    pa
    0.95
    rod
    0.95
    vey
    0.95
    lock
    0.95
    rill
    0.94
    wood
    0.94
    idan
    0.92
    aton
    0.92
    Activations Density 0.027%

    No Known Activations