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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. 13261
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    Explanations

    references to swimming activities

    oai_token-act-pair · gpt-3.5-turbo

    references to swimming activities and events

    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
    aples
    -0.75
    eger
    -0.73
     rusty
    -0.70
    eering
    -0.66
    CRIP
    -0.66
    ________________________
    -0.65
     PowerPoint
    -0.64
    ---------------
    -0.63
     misplaced
    -0.62
     Archdemon
    -0.61
    POSITIVE LOGITS
    mer
    1.04
    suit
    1.03
    mers
    1.00
    suits
    0.95
     Swim
    0.92
    ties
    0.91
    outs
    0.88
     swim
    0.85
    aways
    0.85
    ability
    0.82
    Activations Density 0.015%

    No Known Activations