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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. 11339
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    Explanations

    various mentions of bicycles

    oai_token-act-pair · gpt-3.5-turbo

    mentions of bicycles or related terms

    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
    arial
    -1.03
    arios
    -1.01
    nyder
    -0.95
    orage
    -0.77
    maxwell
    -0.76
    oys
    -0.76
    mberg
    -0.76
    esty
    -0.76
    essee
    -0.75
    egal
    -0.73
    POSITIVE LOGITS
    puter
    0.87
     erg
    0.77
     Friendly
    0.75
     bicycle
    0.75
     accidents
    0.69
     bicycl
    0.67
     bicycles
    0.66
     Frie
    0.63
     Bicycle
    0.63
     Takeru
    0.62
    Activations Density 0.007%

    No Known Activations