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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. 10-RES-JB
    11. 11639
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    Explanations

    phrases indicating a high probability or expectation

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express likelihood or probability

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    inth
    -0.75
    aeper
    -0.72
    zeb
    -0.71
    otle
    -0.70
    regate
    -0.69
    ð
    -0.68
    kay
    -0.68
    uesday
    -0.68
    OAD
    -0.67
    inas
    -0.67
    POSITIVE LOGITS
     to
    0.94
     destined
    0.81
     underest
    0.81
     underestimated
    0.79
     doomed
    0.79
     underestimate
    0.77
     culprit
    0.70
     influenced
    0.69
     unchanged
    0.68
     swayed
    0.68
    Activations Density 0.052%

    No Known Activations