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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. 9882
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    INDEX
    Explanations

    business-related terms, especially ones related to market analysis and competition

    oai_token-act-pair · gpt-3.5-turbo

    references to market share or market conditions

    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
     Lak
    -0.75
     Uz
    -0.72
     Drac
    -0.68
     tatt
    -0.68
    sonian
    -0.66
     Lod
    -0.65
     Protective
    -0.64
    utan
    -0.64
    loo
    -0.63
    uras
    -0.62
    POSITIVE LOGITS
    places
    1.53
    hare
    1.22
    eers
    1.13
    ability
    0.96
     share
    0.91
    place
    0.91
    eer
    0.85
     niche
    0.80
    share
    0.79
    able
    0.78
    Activations Density 0.056%

    No Known Activations