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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. 0-RES-JB
    11. 18077
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    Explanations

    references to the word "bro" followed by a number indicating the strength of the activation

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "bro" in relation to various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     honor
    -0.71
     memory
    -0.70
     ideal
    -0.67
     Purg
    -0.67
    ãģ®ç
    -0.64
     curses
    -0.63
     vim
    -0.61
     flags
    -0.61
     offense
    -0.60
     screen
    -0.60
    POSITIVE LOGITS
    bro
    4.81
    Bro
    1.90
    bral
    1.63
     Bro
    1.56
    brook
    1.41
    bra
    1.37
     bro
    1.31
    bre
    1.26
    bourg
    1.24
    bol
    1.23
    Activations Density 0.016%

    No Known Activations