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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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    references to swimming pools

    oai_token-act-pair · gpt-3.5-turbo

    references to swimming pools

    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
    rians
    -0.74
    rian
    -0.72
    eme
    -0.68
    relevant
    -0.68
    orate
    -0.64
    asing
    -0.63
    NESS
    -0.57
     Governments
    -0.57
    beh
    -0.57
    ably
    -0.56
    POSITIVE LOGITS
    pool
    1.18
     pool
    1.06
     Pool
    1.02
    esville
    1.01
     pools
    0.92
    hall
    0.83
    Pool
    0.83
     volleyball
    0.79
    halla
    0.78
    atoon
    0.77
    Activations Density 0.008%

    No Known Activations