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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. 18649
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    Explanations

    adjectives related to recommendations or guidelines

    oai_token-act-pair · gpt-3.5-turbo

    terms related to recommendations and guidelines

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ADRA
    -0.82
    pered
    -0.75
    lip
    -0.71
    ql
    -0.70
    zona
    -0.70
    @#&
    -0.68
    herer
    -0.68
    ilk
    -0.68
    ntil
    -0.67
    govtrack
    -0.67
    POSITIVE LOGITS
     amount
    1.13
     locations
    0.95
     number
    0.95
     dosage
    0.94
     length
    0.93
     lengths
    0.93
     timeframe
    0.91
     outcome
    0.91
     destinations
    0.91
     values
    0.90
    Activations Density 0.188%

    No Known Activations