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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. 4-RES-JB
    11. 122
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    Explanations

    keywords related to a specific brand or company named "Bench"

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "bench" in various contexts

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

    No Comments

    Negative Logits
    ITY
    -0.69
     ISBN
    -0.64
    ocument
    -0.63
     Franch
    -0.63
     iod
    -0.61
    ities
    -0.60
     DPR
    -0.60
     Debor
    -0.60
    natureconservancy
    -0.59
     DOI
    -0.59
    POSITIVE LOGITS
    mark
    1.18
    marks
    1.18
    tops
    1.02
    tower
    0.90
    marked
    0.83
    lain
    0.83
    jamin
    0.82
    yard
    0.80
    strap
    0.79
    neys
    0.78
    Activations Density 0.007%

    No Known Activations