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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. 17364
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    specific identifiers or names, particularly initials or initials followed by last names, of key individuals

    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
    Women
    -0.67
     MSG
    -0.67
     neon
    -0.66
     TVs
    -0.64
     projector
    -0.64
     WOM
    -0.63
     INTO
    -0.63
     acronym
    -0.62
     boobs
    -0.61
    ModLoader
    -0.61
    POSITIVE LOGITS
    essler
    1.04
    isson
    1.02
    antz
    1.01
    iggins
    0.96
    linger
    0.96
    enson
    0.95
    inton
    0.92
    elson
    0.91
    uel
    0.91
    iott
    0.91
    Activations Density 0.134%

    No Known Activations