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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. 16785
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    Explanations

    references to the color brown

    oai_token-act-pair · gpt-3.5-turbo

    references to the color brown

    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
    cffffcc
    -0.80
    oteric
    -0.77
    ITAL
    -0.74
    akespe
    -0.73
    DCS
    -0.72
    Hung
    -0.72
    ilant
    -0.71
    udeau
    -0.70
    akespeare
    -0.70
    REL
    -0.70
    POSITIVE LOGITS
    ish
    0.95
     brown
    0.94
    beard
    0.86
    ies
    0.85
    coat
    0.84
    ie
    0.81
     coats
    0.81
    cake
    0.81
    bread
    0.79
     mole
    0.79
    Activations Density 0.009%

    No Known Activations