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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. 2-RES-JB
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    uther
    -0.84
    san
    -0.78
    JV
    -0.76
    raction
    -0.75
    conserv
    -0.71
    ================================================================
    -0.64
     Scouting
    -0.64
     Spit
    -0.64
    berman
    -0.64
     Flavoring
    -0.62
    POSITIVE LOGITS
     billing
    1.28
     billed
    1.07
    interstitial
    0.79
    heet
    0.75
    tone
    0.71
    endar
    0.70
    halla
    0.68
     Ambro
    0.66
     gimm
    0.66
    Ĥª
    0.65
    Activations Density 0.007%

    No Known Activations