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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. 9-RES-JB
    11. 2908
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Entered
    -0.97
     Hutchinson
    -0.69
     dred
    -0.66
     awoken
    -0.65
     Diablo
    -0.64
     wast
    -0.61
     fumes
    -0.61
     agitated
    -0.59
     churn
    -0.58
     seism
    -0.58
    POSITIVE LOGITS
    ipal
    0.82
    reciation
    0.73
    parent
    0.70
    aucuses
    0.70
    brids
    0.70
    center
    0.68
    Tokens
    0.68
    lite
    0.68
    assadors
    0.66
    IELD
    0.66
    Activations Density 0.593%

    No Known Activations