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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. 745
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    Explanations

    numeric values representing length

    oai_token-act-pair · gpt-3.5-turbo

    references to measurements of length

    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
    eers
    -0.88
    eer
    -0.77
    eering
    -0.69
     resur
    -0.65
     FIRE
    -0.64
    leck
    -0.64
    ertodd
    -0.63
    inent
    -0.60
     Burnett
    -0.60
    bara
    -0.59
    POSITIVE LOGITS
    wise
    0.91
    band
    0.79
     restriction
    0.78
     mismatch
    0.78
    iest
    0.78
    owed
    0.77
    range
    0.76
     constraints
    0.76
    ier
    0.75
    coded
    0.75
    Activations Density 0.054%

    No Known Activations