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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. 4-RES-JB
    11. 220
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    Explanations

    words related to emotional disturbance or disruption

    oai_token-act-pair · gpt-3.5-turbo

    references to disturbance or being disturbed in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    amacare
    -0.77
    imb
    -0.70
     drilled
    -0.69
    atar
    -0.68
    gil
    -0.68
    ccording
    -0.68
    silver
    -0.67
    ilts
    -0.66
     motto
    -0.66
    thood
    -0.66
    POSITIVE LOGITS
    ingly
    0.86
     disturbed
    0.80
     disturbances
    0.78
     disturb
    0.76
     awaken
    0.76
     distur
    0.73
     disturbance
    0.69
    ktop
    0.68
    ĸļ
    0.66
    EMBER
    0.66
    Activations Density 0.019%

    No Known Activations