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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. 7-RES-JB
    11. 2923
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    Explanations

    phrases indicating the act of speaking or expressing thoughts

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ACP
    -0.75
    cop
    -0.72
    tele
    -0.65
     laun
    -0.63
    aura
    -0.62
    von
    -0.60
    cano
    -0.60
    areth
    -0.60
    deen
    -0.59
     manag
    -0.58
    POSITIVE LOGITS
    irection
    0.88
    redients
    0.85
    oaded
    0.73
    edge
    0.69
     goodbye
    0.68
    LY
    0.68
     hypocr
    0.64
    isson
    0.63
    ļé
    0.62
     Curve
    0.61
    Activations Density 0.108%

    No Known Activations