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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. 1356
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    INDEX
    Explanations

    proper nouns, likely named entities, specifically focusing on names like "Douglas"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the name "Douglas"

    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
    ted
    -0.85
    fare
    -0.84
    runner
    -0.79
    istic
    -0.78
    requ
    -0.77
    mic
    -0.76
    icz
    -0.76
    itia
    -0.75
    ty
    -0.75
    runners
    -0.75
    POSITIVE LOGITS
     MacArthur
    0.94
    gow
    0.73
    olate
    0.71
    ratulations
    0.67
     Mons
    0.66
     Fargo
    0.65
    uous
    0.63
     Clause
    0.63
     Hatch
    0.61
    uously
    0.61
    Activations Density 0.128%

    No Known Activations