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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. 10-RES-JB
    11. 24495
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases describing types or categories of things

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ĸļ
    -0.66
    sbm
    -0.63
     VIDEOS
    -0.63
    ften
    -0.62
     Niet
    -0.62
     Bots
    -0.62
    aspers
    -0.59
     Scrib
    -0.59
     Eisen
    -0.59
     Tackle
    -0.58
    POSITIVE LOGITS
     of
    0.92
    lier
    0.81
    itious
    0.76
    aldehyde
    0.71
     thereof
    0.71
    itional
    0.71
    of
    0.70
    else
    0.69
    entially
    0.68
    emic
    0.67
    Activations Density 0.038%

    No Known Activations