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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. 11-RES-JB
    11. 3471
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    INDEX
    Explanations

    locations where information was published

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of articles and verbs related to publication

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hesda
    -0.89
     ens
    -0.72
    etsk
    -0.72
    fecture
    -0.71
    Streamer
    -0.66
     groom
    -0.66
    henko
    -0.65
    lot
    -0.64
    spawn
    -0.64
    watching
    -0.64
    POSITIVE LOGITS
     paperback
    1.04
     newspapers
    1.03
     print
    1.01
     journals
    1.01
     conjunction
    0.97
     PLoS
    0.93
     Proceedings
    0.91
     Psychological
    0.89
     Lancet
    0.87
     Vanity
    0.85
    Activations Density 0.126%

    No Known Activations