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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. 3-RES-JB
    11. 7049
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    Explanations

    words related to recovery or improvement

    oai_token-act-pair · gpt-3.5-turbo

    variations of the word "rebound" and its related forms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Dull
    -0.66
     scope
    -0.66
    acca
    -0.63
     synopsis
    -0.62
     Travels
    -0.62
     mouths
    -0.60
     Nost
    -0.57
     DAR
    -0.56
    Var
    -0.56
     Nig
    -0.56
    POSITIVE LOGITS
     FTA
    0.89
    ailable
    0.84
    rocal
    0.78
    lash
    0.77
    rarily
    0.75
    quished
    0.73
    gnu
    0.71
    iated
    0.71
    ernaut
    0.70
    anced
    0.69
    Activations Density 0.038%

    No Known Activations