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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. 7-RES-JB
    11. 8977
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    Explanations

    proper names

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Matt."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    FUL
    -0.80
     toile
    -0.77
    gary
    -0.73
     sophistic
    -0.72
    bid
    -0.71
    dylib
    -0.71
    GROUND
    -0.69
     Dame
    -0.67
    CHO
    -0.67
    give
    -0.67
    POSITIVE LOGITS
    achine
    1.26
    apan
    1.02
    uring
    1.01
    hew
    1.01
    ocks
    0.99
    arella
    0.99
    hews
    0.99
    ias
    0.98
     Damon
    0.97
    eson
    0.96
    Activations Density 0.018%

    No Known Activations