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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. 7-RES-JB
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    Explanations

    references to birds

    oai_token-act-pair · gpt-3.5-turbo

    references to birds, specifically focusing on their characteristics or contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FINE
    -0.85
    oldemort
    -0.70
    idates
    -0.67
     Vanderbilt
    -0.64
    ilitary
    -0.64
    xia
    -0.63
    Wik
    -0.63
    ushima
    -0.61
     unregulated
    -0.59
    idency
    -0.59
    POSITIVE LOGITS
    watching
    1.11
    bird
    1.07
    birds
    1.03
    seed
    0.99
    walk
    0.93
    hawk
    0.92
    bats
    0.87
    wat
    0.86
    species
    0.84
    feed
    0.83
    Activations Density 0.028%

    No Known Activations