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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. 17153
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    INDEX
    Explanations

    phrases related to feasibility or permissibility

    oai_token-act-pair · gpt-3.5-turbo

    terms related to feasibility and permissibility

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
    water
    -0.85
    ging
    -0.78
    gers
    -0.73
    war
    -0.72
    bies
    -0.71
    olver
    -0.70
    strong
    -0.68
    gor
    -0.67
    mson
    -0.67
    upt
    -0.67
    POSITIVE LOGITS
    ufact
    1.05
    theless
    0.90
    EStream
    0.87
    bably
    0.82
    hower
    0.80
    xual
    0.80
    nown
    0.78
    RESULTS
    0.77
    rontal
    0.75
    phrine
    0.74
    Activations Density 0.046%

    No Known Activations