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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. 4-RES-JB
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    Explanations

    references to the activity of swimming

    oai_token-act-pair · gpt-3.5-turbo

    references to swimming and swim-related activities

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

    No Comments

    Negative Logits
    naires
    -0.74
    oned
    -0.73
    relevant
    -0.70
    CRIP
    -0.68
    ribune
    -0.67
    haar
    -0.66
    orate
    -0.62
    ________________________
    -0.62
    eq
    -0.59
     stuffing
    -0.59
    POSITIVE LOGITS
     swim
    0.99
     Swim
    0.99
    suit
    0.96
     swimming
    0.94
    boat
    0.93
     ashore
    0.91
    suits
    0.91
    boats
    0.86
     baths
    0.84
    maid
    0.83
    Activations Density 0.010%

    No Known Activations