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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. 5072
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    Explanations

    terms related to American football interceptions

    oai_token-act-pair · gpt-3.5-turbo

    references to interceptions in sports contexts

    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
    amily
    -0.74
    Fit
    -0.74
    cil
    -0.72
    Feel
    -0.69
    Lab
    -0.69
    fit
    -0.67
     Blend
    -0.67
     Laurie
    -0.64
    Works
    -0.64
    NOW
    -0.64
    POSITIVE LOGITS
     interceptions
    3.45
     interception
    3.44
     intercepted
    2.25
     intercept
    1.82
     turnovers
    1.45
     touchdown
    1.30
     fumble
    1.29
     sacks
    1.21
     eaves
    1.15
     wiret
    1.15
    Activations Density 0.023%

    No Known Activations