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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. 9822
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    Explanations

    people/entities carrying out actions or experiencing events

    oai_token-act-pair · gpt-3.5-turbo

    the end of a document or segment

    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
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    Negative Logits
    halla
    -0.68
    istani
    -0.66
    ankind
    -0.63
    acebook
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     prest
    -0.62
    emale
    -0.62
    renheit
    -0.62
    selves
    -0.61
    emetery
    -0.61
    results
    -0.60
    POSITIVE LOGITS
     Phant
    0.69
     Bayern
    0.67
    bra
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     Celtics
    0.61
     Arsenal
    0.60
     LLP
    0.59
     Expand
    0.59
     Profile
    0.59
     Bengals
    0.59
     Dism
    0.58
    Activations Density 0.503%

    No Known Activations