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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. 9930
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    INDEX
    Explanations

    mentions of words related to health, medical records or facilities, and physical well-being

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "vital" and its variations

    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
    ©¶æ
    -0.85
    renheit
    -0.83
    TeX
    -0.74
     Meadows
    -0.73
    Buy
    -0.71
    AUT
    -0.71
    essee
    -0.69
    hang
    -0.68
    gemony
    -0.66
     Settlement
    -0.66
    POSITIVE LOGITS
     importance
    0.93
     organs
    0.91
    istical
    0.87
    arial
    0.85
    ising
    0.81
    istically
    0.81
    izing
    0.80
    ogical
    0.79
    ised
    0.79
     vital
    0.79
    Activations Density 0.018%

    No Known Activations