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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. 11-RES-JB
    11. 10024
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    Explanations

    phrases related to sports, specifically basketball statistics

    oai_token-act-pair · gpt-3.5-turbo

    terms related to statistics and performance in sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nir
    -0.74
    zl
    -0.68
     somew
    -0.66
    lies
    -0.64
    interstitial
    -0.61
    tin
    -0.60
    Newsletter
    -0.57
    edly
    -0.57
    ty
    -0.56
    ding
    -0.56
    POSITIVE LOGITS
     breath
    0.51
    Course
    0.48
    ãĤª
    0.47
    Fle
    0.47
    and
    0.47
    ãĤ¬
    0.46
    alle
    0.46
     breeds
    0.44
    alla
    0.44
     legislative
    0.43
    Activations Density 0.480%

    No Known Activations