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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. 6-RES-JB
    11. 7110
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to open-source software or projects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ered
    -0.88
    ries
    -0.73
    aneous
    -0.72
    uated
    -0.72
    ry
    -0.68
     rhy
    -0.68
     Clicker
    -0.67
    riet
    -0.67
    rying
    -0.67
    stract
    -0.65
    POSITIVE LOGITS
     ANGEL
    1.00
    ECTION
    0.97
    opher
    0.96
    sein
    0.93
    metics
    0.90
    omal
    0.87
    ystem
    0.86
    SI
    0.86
    hiba
    0.86
    HI
    0.85
    Activations Density 0.019%

    No Known Activations