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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. 23570
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    Explanations

    references to the term "Pan"

    oai_token-act-pair · gpt-3.5-turbo

    references to "Pan" and related terms, likely focused on the Pan American context

    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
    enance
    -0.76
    itability
    -0.64
    UGH
    -0.63
    IELD
    -0.63
     Judd
    -0.63
     minded
    -0.60
    RON
    -0.59
    OUND
    -0.59
    ments
    -0.59
     confir
    -0.59
    POSITIVE LOGITS
    orama
    1.31
    acea
    1.16
    zers
    1.14
    tera
    1.13
    alyst
    0.99
    asonic
    0.97
    etta
    0.96
    iola
    0.96
    icked
    0.95
    handle
    0.94
    Activations Density 0.028%

    No Known Activations