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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. 1-RES-JB
    11. 21518
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    Explanations

    mentions of specific animals, especially foxes

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "fox" and "Subaru"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ETHOD
    -0.74
    udder
    -0.74
    ubric
    -0.69
     Mellon
    -0.66
     Musk
    -0.65
     Deng
    -0.64
    ware
    -0.64
    erville
    -0.63
     Spoon
    -0.62
     Salvador
    -0.62
    POSITIVE LOGITS
    es
    1.01
     fox
    0.80
    manship
    0.79
    urnal
    0.78
    saf
    0.73
    orial
    0.70
    elsius
    0.70
    oire
    0.70
    hun
    0.69
    xus
    0.66
    Activations Density 0.033%

    No Known Activations