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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
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    Explanations

    signals<tokens>

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letter 's' in various contexts

    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
    Reviewer
    -0.73
     Leilan
    -0.72
    EStream
    -0.71
     placebo
    -0.67
    viron
    -0.65
    SET
    -0.63
    Write
    -0.63
    ãĤ¤ãĥĪ
    -0.62
    FML
    -0.62
    icio
    -0.61
    POSITIVE LOGITS
    ources
    0.97
    wered
    0.96
    iblings
    0.94
    ued
    0.90
    ourcing
    0.88
    outhern
    0.88
    ourced
    0.86
    lightly
    0.86
    kaya
    0.85
    omew
    0.85
    Activations Density 0.363%

    No Known Activations