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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. 23185
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    INDEX
    Explanations

    phrases indicating potential future events or likelihood

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating probability or likelihood

    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
    awar
    -0.82
    rief
    -0.79
    zeb
    -0.77
    inth
    -0.76
    ente
    -0.75
    gado
    -0.74
    inelli
    -0.73
    lain
    -0.72
    eni
    -0.72
    olded
    -0.71
    POSITIVE LOGITS
     releg
    0.82
    ãĥ´
    0.69
     underestimate
    0.69
     assume
    0.67
    Magikarp
    0.66
     linem
    0.65
    cffff
    0.65
     guiActiveUn
    0.64
    won
    0.64
     culprit
    0.64
    Activations Density 0.020%

    No Known Activations