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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. 6-RES-JB
    11. 15370
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    Explanations

    words related to specific terms such as structures, emotions, and professions

    oai_token-act-pair · gpt-3.5-turbo

    elements related to structures and categories in media and culture

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Weston
    -0.61
    DERR
    -0.60
    rouse
    -0.59
     Holden
    -0.57
     besides
    -0.57
     Cohn
    -0.56
     Lomb
    -0.56
     Naples
    -0.56
     Horowitz
    -0.56
     Lexington
    -0.55
    POSITIVE LOGITS
    »
    0.98
    _.
    0.97
    \)
    0.95
    ãĢı
    0.92
    ãĢį
    0.92
    ''
    0.86
    %"
    0.85
    ]'
    0.84
    É
    0.83
    ãĢij
    0.81
    Activations Density 0.306%

    No Known Activations