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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. 2-RES-JB
    11. 14165
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    INDEX
    Explanations

    mentions of specific financial data or references like "FR 9" or "FRANCE"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the abbreviation "FR" and related terms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    holder
    -0.86
    chio
    -0.81
    holders
    -0.80
    estate
    -0.76
    dress
    -0.73
     Hiroshima
    -0.72
    wealth
    -0.70
    gow
    -0.69
    manship
    -0.68
    hern
    -0.67
    POSITIVE LOGITS
    ONT
    1.26
    ESH
    1.05
    ANCE
    1.03
    andom
    1.01
    ugal
    0.99
    AME
    0.96
    ACTION
    0.95
    FR
    0.92
    ANC
    0.91
    oute
    0.89
    Activations Density 0.005%

    No Known Activations