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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. 7-RES-JB
    11. 4067
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    Explanations

    phrases related to reaching a significant point or achievement

    oai_token-act-pair · gpt-3.5-turbo

    references to numerical scores or achievements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ILLE
    -0.82
    ettel
    -0.69
    aband
    -0.67
    anooga
    -0.64
    rouch
    -0.64
    æ©Ł
    -0.63
     traged
    -0.63
    eger
    -0.61
     Kut
    -0.61
    odka
    -0.61
    POSITIVE LOGITS
    manship
    1.39
    downs
    1.04
    emark
    0.96
    down
    0.94
     Twain
    0.86
    ups
    0.85
    eters
    0.82
    posts
    0.79
    making
    0.78
    boards
    0.78
    Activations Density 0.022%

    No Known Activations