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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. 10211
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    Explanations

    terms related to professional or personal involvement with others

    oai_token-act-pair · gpt-3.5-turbo

    references to various forms of engagement

    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
    roma
    -0.79
     curses
    -0.72
     Mono
    -0.71
    ppings
    -0.69
     BAS
    -0.68
     Paste
    -0.65
    SB
    -0.65
    HS
    -0.64
     Gos
    -0.63
    RANT
    -0.63
    POSITIVE LOGITS
     engagement
    4.02
     engagements
    2.54
    agement
    1.62
     engage
    1.56
     engaged
    1.53
     diseng
    1.51
     engaging
    1.39
     engages
    1.37
     Eng
    1.30
     involvement
    1.30
    Activations Density 0.015%

    No Known Activations