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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. 22577
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    Explanations

    words related to errors or mistakes

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "err" indicating errors or mistakes in the text

    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
    Not in Any Lists

    No Comments

    Negative Logits
    esville
    -0.79
    creen
    -0.76
    eph
    -0.67
    brush
    -0.67
    figure
    -0.66
    åĮ
    -0.63
    ĺħ
    -0.63
    grave
    -0.62
     Dome
    -0.62
    cock
    -0.62
    POSITIVE LOGITS
    idge
    1.06
    rr
    1.00
    ific
    0.96
    untled
    0.96
    ands
    0.93
    abbit
    0.90
    anger
    0.90
    antly
    0.89
    ange
    0.89
    uti
    0.87
    Activations Density 0.031%

    No Known Activations