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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. 3-RES-JB
    11. 6057
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    Explanations

    references to pork

    oai_token-act-pair · gpt-3.5-turbo

    references to pork

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    EMBER
    -0.80
     Stanton
    -0.75
    DCS
    -0.74
     Occupations
    -0.73
     Insp
    -0.73
    idges
    -0.71
     Teach
    -0.70
    IFE
    -0.70
     Lauder
    -0.69
     Standing
    -0.67
    POSITIVE LOGITS
    bean
    1.06
    meat
    1.00
     belly
    0.96
     chops
    0.90
     pork
    0.88
    sty
    0.85
     roast
    0.84
     chop
    0.82
    fruit
    0.82
    cake
    0.82
    Activations Density 0.010%

    No Known Activations