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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. 9-RES-JB
    11. 4986
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    Explanations

    phrases encouraging action or participation

    oai_token-act-pair · gpt-3.5-turbo

    calls to action

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     apologies
    -0.65
    kered
    -0.63
    hend
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    quarter
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     insepar
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    gling
    -0.59
    endiary
    -0.58
     discharged
    -0.58
     tongues
    -0.58
     excuse
    -0.57
    POSITIVE LOGITS
     Funding
    0.75
     Politics
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     GOODMAN
    0.74
     Now
    0.73
    ulhu
    0.69
    ivism
    0.69
     Voter
    0.68
     Replay
    0.67
     Projects
    0.66
     Volunte
    0.66
    Activations Density 0.038%

    No Known Activations