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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
    11. 1440
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names of individuals and locations

    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
    Not in Any Lists

    No Comments

    Negative Logits
    uph
    -0.80
    uve
    -0.77
    eering
    -0.73
    azel
    -0.72
    ames
    -0.71
    als
    -0.70
    zona
    -0.69
    ationally
    -0.69
    abor
    -0.68
    ĪĴ
    -0.67
    POSITIVE LOGITS
     Gael
    0.80
    nder
    0.65
    lip
    0.65
    ball
    0.64
     Bok
    0.64
    sic
    0.63
    balls
    0.62
    sth
    0.61
     Farrell
    0.61
    die
    0.60
    Activations Density 0.108%

    No Known Activations