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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. 10-RES-JB
    11. 1058
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    Explanations

    the word "with" followed by relevant information or actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that start with "With"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sburg
    -0.71
    blast
    -0.65
    etts
    -0.62
     encount
    -0.62
    onial
    -0.62
    fleet
    -0.61
    ³³³³³³³³
    -0.61
    rift
    -0.60
    Ù
    -0.60
    FG
    -0.59
    POSITIVE LOGITS
    draw
    1.49
     hindsight
    1.28
     regards
    1.23
    drawn
    1.22
     regard
    1.19
    stood
    1.10
    holding
    1.09
     apologies
    1.07
     respect
    0.94
    standing
    0.84
    Activations Density 0.081%

    No Known Activations