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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. 7-RES-JB
    11. 10871
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    characters or symbols that may indicate formatting or typographic elements in the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     vulner
    -0.62
     Journals
    -0.62
     Mirage
    -0.61
     feats
    -0.61
     partnerships
    -0.61
     Freed
    -0.60
     condem
    -0.60
     climbers
    -0.59
     Rudd
    -0.59
     Echoes
    -0.59
    POSITIVE LOGITS
    vernment
    1.07
    same
    0.94
    ï¸ı
    0.88
    orld
    0.87
    uthor
    0.85
    ossibility
    0.83
    axis
    0.82
    âĶĢâĶĢ
    0.81
    cking
    0.81
    ottest
    0.80
    Activations Density 0.110%

    No Known Activations