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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. 21050
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    Explanations

    references to places, especially cities and institutions

    oai_token-act-pair · gpt-3.5-turbo

    words related to logic and reasoning

    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
    WARD
    -0.71
    flies
    -0.70
    fly
    -0.68
    OTA
    -0.67
     Ply
    -0.65
    Penn
    -0.63
     Sons
    -0.63
    weeney
    -0.63
     FISA
    -0.63
     Ki
    -0.63
    POSITIVE LOGITS
    ues
    1.23
    olog
    1.12
    opol
    1.06
    etics
    0.97
    etic
    0.95
    atin
    0.92
    ique
    0.90
    izer
    0.89
    isers
    0.89
    uing
    0.89
    Activations Density 0.014%

    No Known Activations