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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. 2-RES-JB
    11. 20970
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    Explanations

    references to undercover police operations or deceptive actions

    oai_token-act-pair · gpt-3.5-turbo

    references to sting operations conducted by law enforcement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Supplement
    -0.70
    ordan
    -0.69
    uters
    -0.67
    ufact
    -0.67
    PRES
    -0.66
    iasco
    -0.64
     Principal
    -0.63
    ndum
    -0.63
    ACTED
    -0.62
     Atmospheric
    -0.62
    POSITIVE LOGITS
     sting
    1.44
    ray
    0.95
    rays
    0.92
     Sting
    0.84
    ega
    0.84
    lers
    0.80
    tip
    0.79
    ingly
    0.79
    elope
    0.76
    heet
    0.76
    Activations Density 0.006%

    No Known Activations