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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. 1833
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    Explanations

    verbs related to actions or tasks being done

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "take" and its variations, indicating actions or opportunities

    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
    Not in Any Lists

    No Comments

    Negative Logits
    atically
    -0.79
    Bey
    -0.74
    atum
    -0.73
    hof
    -0.73
    hoe
    -0.70
    ominated
    -0.69
    bery
    -0.66
    76561
    -0.66
    wagen
    -0.66
    hoff
    -0.65
    POSITIVE LOGITS
     advantage
    1.44
     risks
    1.19
     care
    1.15
     pride
    1.00
     cues
    0.97
     inspiration
    0.95
     precautions
    0.94
     liberties
    0.93
     responsibility
    0.93
    advant
    0.93
    Activations Density 0.068%

    No Known Activations