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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. 2849
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    Explanations

    language indicating probability or likelihood

    oai_token-act-pair · gpt-3.5-turbo

    phrases that suggest probability or likelihood

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    zeb
    -0.87
    gado
    -0.85
    inth
    -0.83
    ometimes
    -0.75
    andan
    -0.75
    artney
    -0.73
    elta
    -0.72
    issy
    -0.72
    elo
    -0.71
    neys
    -0.71
    POSITIVE LOGITS
     underest
    0.90
     underestimate
    0.80
     underestimated
    0.76
     overest
    0.73
     culprit
    0.71
     linem
    0.69
     ancestor
    0.69
     doomed
    0.69
     misunderstand
    0.68
     exagger
    0.67
    Activations Density 0.048%

    No Known Activations