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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. 1-RES-JB
    11. 3517
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    INDEX
    Explanations

    names or terms related to "Kol" with particularly high activation values

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific name or brand related to Kolab or Kol

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    icist
    -0.76
    UCT
    -0.75
    Deal
    -0.74
     Thumbnails
    -0.74
    ãĥ¼ãĥĨãĤ£
    -0.71
    CLASSIFIED
    -0.70
     Incarn
    -0.70
    reads
    -0.70
    iments
    -0.69
    Western
    -0.68
    POSITIVE LOGITS
     Klux
    1.13
     Kop
    1.08
    anski
    0.97
    fman
    0.89
    owski
    0.87
    sten
    0.86
    won
    0.83
     Kol
    0.83
    oslov
    0.82
     Kl
    0.81
    Activations Density 0.011%

    No Known Activations