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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
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    Explanations

    mentions of the word "giant."

    oai_token-act-pair · gpt-3.5-turbo

    repetitive occurrences of the term "giant."

    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
    earchers
    -0.90
    skirts
    -0.75
    uberty
    -0.72
    cffffcc
    -0.70
    atever
    -0.69
    agan
    -0.68
    omsky
    -0.67
    Downloadha
    -0.66
    upuncture
    -0.64
    MER
    -0.63
    POSITIVE LOGITS
    iant
    1.07
    ieth
    0.99
    ially
    0.91
    yne
    0.84
    ãĥ¼ãĥĨãĤ£
    0.84
    riad
    0.82
    iful
    0.75
    ial
    0.73
    iants
    0.71
    ifully
    0.70
    Activations Density 0.007%

    No Known Activations