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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 0-RES-JB
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    Explanations

    mentions of the word "Bots"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "bots" and related concepts in the context of technology and interactions

    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
     ammon
    -0.73
    inch
    -0.72
    ynasty
    -0.70
     disse
    -0.68
    linux
    -0.68
     FSA
    -0.66
    icum
    -0.66
    acid
    -0.65
     athletic
    -0.64
     incorpor
    -0.64
    POSITIVE LOGITS
     Bots
    3.46
     Tinder
    1.70
     bots
    1.52
     Grind
    1.28
     Pret
    1.24
     Johannes
    1.24
     Pill
    1.18
    bots
    1.16
     Wit
    1.06
     Lad
    1.05
    Activations Density 0.021%

    No Known Activations