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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. 12688
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    Explanations

    phrases related to swimming

    oai_token-act-pair · gpt-3.5-turbo

    references to swimming activities and related terms

    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
    oned
    -0.82
    naires
    -0.75
    relevant
    -0.73
    oning
    -0.65
     tense
    -0.65
    CRIP
    -0.63
     sender
    -0.61
    xual
    -0.61
     Printing
    -0.61
    RECT
    -0.61
    POSITIVE LOGITS
    suit
    1.03
    tub
    0.98
    suits
    0.98
    boat
    0.95
     ashore
    0.94
     swim
    0.93
     swimming
    0.92
    maid
    0.90
    estone
    0.88
     Swim
    0.87
    Activations Density 0.026%

    No Known Activations