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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. 319
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    Explanations

    references to passing and related terms in a sports context, likely focused on football

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "pass" in various contexts, particularly in relation to sports

    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
     ASP
    -0.67
    aples
    -0.64
     plur
    -0.64
     BaseType
    -0.64
    aiman
    -0.64
    antha
    -0.63
    obook
    -0.62
     Stevens
    -0.62
     GOODMAN
    -0.62
    anton
    -0.61
    POSITIVE LOGITS
    wd
    0.93
     Passing
    0.90
    ives
    0.79
     rusher
    0.78
    yards
    0.76
    phrase
    0.75
     muster
    0.73
    codes
    0.70
     passes
    0.70
    dies
    0.70
    Activations Density 0.012%

    No Known Activations