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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. 6013
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    Explanations

    sports team names

    oai_token-act-pair · gpt-3.5-turbo

    names of sports teams and references 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
    judicial
    -0.85
    eline
    -0.71
    hillary
    -0.67
    mining
    -0.67
    astical
    -0.65
    resent
    -0.64
    growth
    -0.63
    depending
    -0.63
    ement
    -0.62
    edition
    -0.61
    POSITIVE LOGITS
    士
    0.86
     Museum
    0.74
     Orchestra
    0.74
     Seal
    0.72
     Stadium
    0.71
     Foundation
    0.71
     Athletics
    0.71
     Presents
    0.70
     Massacre
    0.70
     lug
    0.68
    Activations Density 0.080%

    No Known Activations