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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. 8-RES-JB
    11. 16940
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    Explanations

    numerical data related to quantities or statistics

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "in" and associated numerical data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ´ãĥ³
    -0.71
    entimes
    -0.70
    Kick
    -0.67
     dictated
    -0.63
     heals
    -0.62
    quickShipAvailable
    -0.61
    voice
    -0.61
     reminded
    -0.59
    ango
    -0.59
    >(
    -0.59
    POSITIVE LOGITS
     existence
    1.02
     total
    0.97
    eligible
    0.96
     circulation
    0.96
    clusions
    0.96
    ked
    0.86
    cluded
    0.86
    escap
    0.84
    itialized
    0.83
     relation
    0.81
    Activations Density 0.275%

    No Known Activations