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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. 8-RES-JB
    11. 11917
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    Explanations

    proper nouns of people's names

    oai_token-act-pair · gpt-3.5-turbo

    prominent names and titles in the context of film and media

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ario
    -0.82
    opter
    -0.82
    arios
    -0.80
    alez
    -0.78
    arily
    -0.75
    acus
    -0.75
    orship
    -0.74
    ily
    -0.74
    acher
    -0.73
    oured
    -0.73
    POSITIVE LOGITS
    ãĥ«
    0.88
     CTR
    0.85
    ãĤ¡
    0.80
    theless
    0.77
     PACK
    0.76
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.73
    ãĤ§
    0.71
    lisher
    0.67
     Scrib
    0.66
    ting
    0.65
    Activations Density 0.161%

    No Known Activations