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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. 24499
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    INDEX
    Explanations

    references to a physical bench

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "bench"

    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
    natureconservancy
    -0.76
     ISBN
    -0.73
    Ô
    -0.67
    Operation
    -0.66
     Dragonbound
    -0.65
     Gale
    -0.65
    Marx
    -0.65
    Educ
    -0.64
    Europe
    -0.64
    Els
    -0.64
    POSITIVE LOGITS
     bench
    1.08
     benches
    1.05
     warrants
    0.80
    tops
    0.78
    warm
    0.77
     assignments
    0.73
     rocking
    0.70
    stall
    0.68
    yard
    0.67
    mark
    0.67
    Activations Density 0.009%

    No Known Activations