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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. 13132
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    Explanations

    names of a specific person - "Hunt"

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific individual named Hunt

    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
    Downloadha
    -0.72
    graded
    -0.65
    stud
    -0.64
    pmwiki
    -0.63
    ocard
    -0.62
     Leilan
    -0.61
    control
    -0.61
     Seym
    -0.60
    umbn
    -0.60
     discharge
    -0.60
    POSITIVE LOGITS
     Hunt
    1.38
    hunt
    1.14
    ley
    0.97
    Hunt
    0.95
     hunts
    0.88
    cheon
    0.82
    eers
    0.82
    bats
    0.81
    leigh
    0.80
    tro
    0.80
    Activations Density 0.003%

    No Known Activations