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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. 14161
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    INDEX
    Explanations

    mentions of specific dates and events

    oai_token-act-pair · gpt-3.5-turbo

    references to significant technological developments or advancements

    oai_token-act-pair · gpt-4o-mini
    Triggered 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
    Negative Logits
     UNCLASSIFIED
    -0.90
    quartered
    -0.86
    lees
    -0.78
    ItemImage
    -0.73
    uli
    -0.72
    orically
    -0.72
    emort
    -0.69
    beit
    -0.67
    sbm
    -0.66
     Occupations
    -0.66
    POSITIVE LOGITS
    Redditor
    0.84
    LOS
    0.78
     feds
    0.77
     selfie
    0.75
     Clown
    0.72
     poop
    0.71
     booze
    0.71
     downright
    0.70
    ueller
    0.67
     surprises
    0.66
    Activations Density 1.255%

    No Known Activations