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    1. Home
    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. 5444
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    Explanations

    headlines featuring events or incidents

    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks and their context in sentences

    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
    Not in Any Lists

    No Comments

    Negative Logits
    reciation
    -0.70
    authorized
    -0.69
    itol
    -0.67
    Seattle
    -0.67
    ozo
    -0.67
    EO
    -0.66
    ivable
    -0.66
    ulus
    -0.66
    osing
    -0.65
    oes
    -0.65
    POSITIVE LOGITS
     Photograph
    0.91
     Dame
    0.86
     Pict
    0.78
     Ahead
    0.78
     Gian
    0.76
     Hem
    0.73
     Irwin
    0.73
     ï
    0.72
     Kil
    0.72
     Opposition
    0.71
    Activations Density 0.064%

    No Known Activations