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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
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    Explanations

    the word 'sheriff'

    oai_token-act-pair · gpt-4-turbo

    references to law enforcement figures, particularly sheriffs

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "sheriff."

    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
    apore
    -0.86
    eq
    -0.80
     Generations
    -0.70
    oric
    -0.70
     Iter
    -0.69
    Dub
    -0.69
     Helpful
    -0.69
    ple
    -0.68
     Fighters
    -0.68
    lihood
    -0.67
    POSITIVE LOGITS
     sheriff
    1.21
     commissioner
    1.02
     coroner
    0.93
     sher
    0.84
     commissioners
    0.83
     deputies
    0.82
     clerk
    0.82
     fisheries
    0.81
     chiefs
    0.76
     councill
    0.75
    Activations Density 0.005%

    No Known Activations