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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. 23038
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    Explanations

    terms 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 @ 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
    naires
    -0.77
    oned
    -0.76
    orate
    -0.68
    CRIP
    -0.67
    aneous
    -0.66
    xual
    -0.63
    RECT
    -0.61
    Reloaded
    -0.61
    relevant
    -0.61
    holder
    -0.59
    POSITIVE LOGITS
    suit
    1.21
    suits
    1.20
    boat
    0.95
     swimming
    0.89
     pools
    0.87
    tub
    0.87
     swim
    0.86
    boats
    0.86
    pool
    0.84
    halla
    0.83
    Activations Density 0.033%

    No Known Activations