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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. 6424
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    Explanations

    references to college football teams and events

    oai_token-act-pair · gpt-3.5-turbo

    references to college football

    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
    ĸļ
    -0.87
    \/\/
    -0.77
    Downloadha
    -0.72
    uku
    -0.72
    schild
    -0.71
    inki
    -0.71
    urnal
    -0.70
    zag
    -0.67
    oslav
    -0.66
    nah
    -0.66
    POSITIVE LOGITS
    ioxide
    0.89
    ulhu
    0.71
     Railway
    0.70
     Entry
    0.69
     Dickinson
    0.67
     Playoff
    0.64
     Computing
    0.62
     Mines
    0.61
     Bachelor
    0.61
    rosso
    0.61
    Activations Density 0.486%

    No Known Activations