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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. 15841
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    Explanations

    words related to expressing concern or worry

    oai_token-act-pair · gpt-3.5-turbo

    expressions of concern

    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
    tiny
    -0.73
    ingers
    -0.70
    aver
    -0.69
    haw
    -0.68
    ammy
    -0.67
    artifacts
    -0.66
    PASS
    -0.66
    ccording
    -0.65
    printed
    -0.65
    ortunately
    -0.65
    POSITIVE LOGITS
     concern
    1.11
     Concern
    0.92
     concerns
    0.91
     trolling
    0.84
    cerned
    0.82
    enza
    0.79
    lessly
    0.78
    cern
    0.74
    wart
    0.74
     respecting
    0.73
    Activations Density 0.012%

    No Known Activations