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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. 1-RES-JB
    11. 5388
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    Explanations

    references to the company "Sega" in the text

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the company Sega

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ted
    -0.88
    ifax
    -0.77
    Redditor
    -0.76
    Untitled
    -0.76
    eely
    -0.75
    ivalent
    -0.75
    lier
    -0.74
    ipping
    -0.73
    idge
    -0.73
    DK
    -0.73
    POSITIVE LOGITS
    ĸļ
    1.25
     Bom
    1.12
    llor
    1.06
    berman
    0.93
    bsite
    0.89
     includ
    0.83
    veyard
    0.79
    merce
    0.73
    urai
    0.72
     bom
    0.71
    Activations Density 0.031%

    No Known Activations