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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 17109
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    oai_token-act-pair · gpt-3.5-turbo

    indicators of the end of a document or section

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     arsen
    -0.65
     Charm
    -0.63
     certainty
    -0.61
     McH
    -0.60
     cooks
    -0.59
     ages
    -0.58
     corrid
    -0.57
     heel
    -0.57
     Applicant
    -0.56
     whisk
    -0.56
    POSITIVE LOGITS
    tenance
    0.96
    coins
    0.81
    oft
    0.81
    research
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    sand
    0.81
    fen
    0.80
    dit
    0.79
    rising
    0.78
    nexus
    0.76
    obj
    0.75
    Activations Density 0.262%

    No Known Activations