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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. 0-RES-JB
    11. 11316
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    Explanations

    phrases related to sports and athletics

    oai_token-act-pair · gpt-3.5-turbo

    terms related to athleticism and sports administration

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aeus
    -0.72
     codec
    -0.69
     bab
    -0.69
     demon
    -0.68
     pap
    -0.68
     fung
    -0.67
     treaties
    -0.65
     forks
    -0.65
    elist
    -0.64
     wax
    -0.64
    POSITIVE LOGITS
     Athletic
    2.83
     Insp
    2.52
    Insp
    2.03
     Superintendent
    1.22
     Bene
    1.22
     superintendent
    1.14
     Strength
    1.07
    intendent
    1.06
     ASP
    0.99
     Appeal
    0.94
    Activations Density 0.031%

    No Known Activations