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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. 7-RES-JB
    11. 2807
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    Explanations

    statistics related to sports performance

    oai_token-act-pair · gpt-3.5-turbo

    statistics related to assists in sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    yg
    -0.73
    enegger
    -0.73
    ombat
    -0.67
     appropri
    -0.66
     Sinai
    -0.65
    fare
    -0.65
    stakes
    -0.65
    invoke
    -0.64
    SpaceEngineers
    -0.64
    tails
    -0.64
    POSITIVE LOGITS
     assists
    0.85
    assisted
    0.81
     teammate
    0.79
     apiece
    0.78
    uable
    0.76
     Assist
    0.74
    ives
    0.74
     Pwr
    0.73
     assist
    0.72
     scorer
    0.71
    Activations Density 0.026%

    No Known Activations