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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. 21150
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    Explanations

    mentions of specific names or references related to media entities

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of specific names or identifiers in the text

    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
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    Negative Logits
     elig
    -0.74
    lished
    -0.69
     Rivals
    -0.64
     bluff
    -0.63
     obscene
    -0.60
     ultras
    -0.60
     Ultr
    -0.60
    ADRA
    -0.60
    OPLE
    -0.58
    obos
    -0.58
    POSITIVE LOGITS
    felt
    0.96
    igans
    0.92
    idan
    0.80
    sworth
    0.72
    kamp
    0.72
    zman
    0.72
    ghan
    0.71
    bugs
    0.70
    kens
    0.69
    atari
    0.69
    Activations Density 0.083%

    No Known Activations