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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. 11-RES-JB
    11. 6043
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    Explanations

    actions related to continuing or persisting in an activity

    oai_token-act-pair · gpt-3.5-turbo

    dynamic actions or ongoing processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ĸļ
    -0.87
    yip
    -0.83
    si
    -0.82
    uca
    -0.81
    Ħ¢
    -0.71
    osate
    -0.71
    peria
    -0.70
    sole
    -0.70
    uton
    -0.68
    xtap
    -0.68
    POSITIVE LOGITS
     circles
    0.95
     newsletters
    0.82
     cylinders
    0.81
     updates
    0.81
     motions
    0.78
     tabs
    0.78
     papers
    0.77
     gigs
    0.77
     rhythms
    0.76
     holes
    0.75
    Activations Density 0.323%

    No Known Activations