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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. 4-RES-JB
    11. 24148
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    Explanations

    capitalized abbreviations that are often related to institutions or organizations

    oai_token-act-pair · gpt-3.5-turbo

    references to the abbreviation "IL", which likely stands for a specific entity or classification in the context being discussed

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

    No Comments

    Negative Logits
    rette
    -0.82
    rano
    -0.79
    hra
    -0.75
    oln
    -0.73
    ria
    -0.72
    perature
    -0.71
    uyomi
    -0.69
    ©¶æ
    -0.68
     Pwr
    -0.68
     Crunch
    -0.67
    POSITIVE LOGITS
    UTION
    1.22
    ibrary
    1.17
    DER
    1.06
    IL
    1.03
    MET
    1.01
    LET
    1.00
    ATER
    0.99
    IENT
    0.99
    LEY
    0.97
    SON
    0.97
    Activations Density 0.008%

    No Known Activations