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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. 5565
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    Explanations

    mentions of swimming pools or bodies of water that people swim in

    oai_token-act-pair · gpt-3.5-turbo

    references to "pool" in various contexts

    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
    rians
    -0.76
    DonaldTrump
    -0.74
    rian
    -0.70
    NESS
    -0.68
     pronounce
    -0.59
    eme
    -0.58
    orial
    -0.58
    worldly
    -0.57
    Whe
    -0.57
    ======
    -0.57
    POSITIVE LOGITS
     pool
    1.19
    pool
    1.18
     Pool
    1.09
     pools
    0.99
    esville
    0.91
    regate
    0.88
    Pool
    0.88
    folio
    0.83
    side
    0.80
    erves
    0.78
    Activations Density 0.010%

    No Known Activations