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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. 9-RES-JB
    11. 13831
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to the Hall of Fame across various sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hered
    -0.70
    ting
    -0.70
    ted
    -0.69
     Gork
    -0.64
     shops
    -0.62
    ters
    -0.60
     shop
    -0.60
    orporated
    -0.59
    phrine
    -0.58
    ment
    -0.57
    POSITIVE LOGITS
    iday
    1.51
    ibur
    1.28
    aday
    1.26
    oran
    1.24
    marks
    1.20
    owed
    1.17
    ows
    1.11
    igan
    1.07
    mark
    1.07
    sworth
    0.98
    Activations Density 0.028%

    No Known Activations