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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. 11-RES-JB
    11. 4769
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    Explanations

    names of people, potentially associated with votes or positions

    oai_token-act-pair · gpt-3.5-turbo

    names and titles associated with awards or accolades

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Alger
    -0.78
     Pigs
    -0.77
     Rudd
    -0.75
     Dart
    -0.73
     Newfoundland
    -0.73
     Sloven
    -0.72
     Croatian
    -0.72
     AFL
    -0.72
     Stoke
    -0.71
     Philly
    -0.70
    POSITIVE LOGITS
    ashi
    1.61
    ahime
    1.59
    umi
    1.57
    asaki
    1.57
    itsu
    1.56
    atsu
    1.54
    amoto
    1.54
    ikawa
    1.52
    ugi
    1.51
    uki
    1.51
    Activations Density 0.123%

    No Known Activations