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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. 18805
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    Explanations

    terms related to the action of running, particularly in the context of athletics

    oai_token-act-pair · gpt-3.5-turbo

    references to running backs in football

    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
    Not in Any Lists

    No Comments

    Negative Logits
    opol
    -0.77
    olia
    -0.73
    arist
    -0.68
     plur
    -0.68
    IFIED
    -0.67
     discont
    -0.66
     welcome
    -0.65
    naires
    -0.65
    Birth
    -0.65
    EMP
    -0.64
    POSITIVE LOGITS
    swick
    0.83
    backs
    0.82
    aways
    0.78
    ners
    0.77
     benches
    0.74
    corn
    0.73
     coaches
    0.73
    back
    0.73
    defense
    0.72
     coach
    0.71
    Activations Density 0.025%

    No Known Activations