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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. 7-RES-JB
    11. 12370
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    INDEX
    Explanations

    phrases indicating a comparison or relationship between two entities

    oai_token-act-pair · gpt-3.5-turbo

    mentions of pairs or groups of two entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    renheit
    -0.84
    ugu
    -0.79
    ovi
    -0.78
    annel
    -0.72
    nect
    -0.71
    iggins
    -0.71
    za
    -0.70
    asta
    -0.70
    Ô
    -0.70
    fw
    -0.68
    POSITIVE LOGITS
     halves
    1.46
     thirds
    1.24
     sides
    1.12
     sexes
    1.06
    fold
    1.04
     Kore
    0.98
     dozen
    0.91
     extremes
    0.89
     main
    0.84
     aforementioned
    0.81
    Activations Density 0.057%

    No Known Activations