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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
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    Explanations

    references to the term "Pilates"

    oai_token-act-pair · gpt-3.5-turbo

    references to Pilates

    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
    anwhile
    -0.97
     Carbuncle
    -0.82
    ires
    -0.75
     EntityItem
    -0.70
    hips
    -0.67
    liness
    -0.66
    upon
    -0.63
     GOODMAN
    -0.63
    shapeshifter
    -0.62
     Debor
    -0.62
    POSITIVE LOGITS
    wings
    1.05
    crow
    1.02
    oted
    0.89
    cone
    0.83
    grim
    0.82
    estones
    0.82
    escape
    0.82
    chers
    0.82
    ament
    0.79
    uga
    0.77
    Activations Density 0.010%

    No Known Activations