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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. 9-RES-JB
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    Explanations

    mentions of the name "Bryant"

    oai_token-act-pair · gpt-3.5-turbo

    the end of a document

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    apers
    -0.71
    mons
    -0.66
    ASON
    -0.65
    inel
    -0.63
    ively
    -0.62
    prises
    -0.62
    inav
    -0.61
    efer
    -0.61
    ional
    -0.61
    pent
    -0.61
    POSITIVE LOGITS
    wana
    0.99
    axter
    0.88
    keley
    0.83
    oreal
    0.83
    hari
    0.82
    ruary
    0.79
    reath
    0.79
    strap
    0.77
    EGIN
    0.77
    aneers
    0.75
    Activations Density 0.287%

    No Known Activations