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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. 1-RES-JB
    11. 20856
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    INDEX
    Explanations

    the word "that" or "K" at the beginning of a token

    oai_token-act-pair · gpt-3.5-turbo

    references to identification or existence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    accompan
    -0.73
    gp
    -0.71
    λ
    -0.70
    oria
    -0.70
    aro
    -0.68
    ale
    -0.65
     veiled
    -0.64
     </
    -0.64
     ..."
    -0.64
    ãĤĬ
    -0.62
    POSITIVE LOGITS
    essen
    0.71
     WOM
    0.70
     Quarter
    0.68
     redeem
    0.65
    ecycle
    0.64
     Midlands
    0.64
    berman
    0.64
    mson
    0.63
    ographically
    0.62
    luent
    0.61
    Activations Density 0.000%

    No Known Activations