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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
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    Explanations

    words related to success or achievement

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "winning" in various contexts

    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
    anium
    -0.80
    heter
    -0.76
    erity
    -0.76
    alam
    -0.75
    men
    -0.73
    repre
    -0.71
    utation
    -0.71
    rouch
    -0.70
    agen
    -0.70
    ugu
    -0.68
    POSITIVE LOGITS
     streak
    0.83
     streaks
    0.77
     bidder
    0.75
     Citation
    0.72
     trophies
    0.69
     Owl
    0.69
     prizes
    0.67
    ests
    0.65
    ners
    0.65
     victories
    0.65
    Activations Density 0.017%

    No Known Activations