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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
    11. 24257
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    Explanations

    references to sports teams or locations

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations and teams related to sports events

    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
    pton
    -0.81
    lege
    -0.77
    tle
    -0.77
    ties
    -0.74
    IOR
    -0.71
    Ö¼
    -0.69
    bie
    -0.67
    Interstitial
    -0.67
    pn
    -0.67
    direction
    -0.67
    POSITIVE LOGITS
     Ducks
    1.32
    apolis
    0.88
     Anaheim
    0.79
    dylib
    0.70
    ã
    0.69
     Paragu
    0.68
    ufact
    0.66
    asia
    0.64
    rophe
    0.64
    heim
    0.63
    Activations Density 0.020%

    No Known Activations