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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. 4-RES-JB
    11. 13737
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    Explanations

    references to someone or something physically showing up or making an appearance

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of 'appearance'

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

    No Comments

    Negative Logits
    imb
    -0.80
    rals
    -0.79
    hov
    -0.78
    bern
    -0.75
    keyes
    -0.73
    yth
    -0.72
    EStreamFrame
    -0.72
    cedented
    -0.71
    brace
    -0.71
    ythm
    -0.71
    POSITIVE LOGITS
     appearance
    0.95
     appearances
    0.93
    DragonMagazine
    0.82
    lihood
    0.81
     Appearance
    0.80
     Discrimination
    0.78
     contestant
    0.73
    çİĭ
    0.70
     Droid
    0.69
     Transcript
    0.68
    Activations Density 0.022%

    No Known Activations