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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. 1-RES-JB
    11. 7052
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    Explanations

    phrases related to shootings

    oai_token-act-pair · gpt-3.5-turbo

    references to footwear

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    TB
    -0.70
    rique
    -0.66
    acco
    -0.66
    CLA
    -0.64
    alty
    -0.63
     lad
    -0.63
     laund
    -0.61
     fined
    -0.61
    pour
    -0.61
    stem
    -0.60
    POSITIVE LOGITS
    oots
    1.32
    ooting
    1.11
    shoot
    0.87
    irtual
    0.87
    ooter
    0.84
    aunch
    0.78
    ilogy
    0.75
    arios
    0.73
    achu
    0.73
    overs
    0.71
    Activations Density 0.008%

    No Known Activations