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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. 13546
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    Explanations

    proper names including hyphens

    oai_token-act-pair · gpt-3.5-turbo

    the names of individuals, particularly those with the surname "Jean"

    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
     carriers
    -0.71
    ooked
    -0.69
    icular
    -0.68
     cov
    -0.67
     feathers
    -0.67
    ooting
    -0.63
     liquids
    -0.63
     roller
    -0.62
     smoking
    -0.62
    comings
    -0.61
    POSITIVE LOGITS
    Marie
    1.31
    Louis
    1.29
    Cla
    1.28
    Georg
    1.21
    Pierre
    1.15
    Luc
    1.09
    Philipp
    1.08
    Paul
    1.08
    Fran
    1.05
    Charles
    1.01
    Activations Density 0.044%

    No Known Activations