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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. 8-RES-JB
    11. 884
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    Explanations

    Call to action phrases, specifically "Sign Up" prompts

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to subscribing or signing up for newsletters

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    mong
    -0.64
     serv
    -0.63
    cia
    -0.60
    ially
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    imm
    -0.58
    mart
    -0.57
     trails
    -0.57
     angel
    -0.57
     paved
    -0.54
     wast
    -0.54
    POSITIVE LOGITS
     Continue
    0.78
    ername
    0.74
    grades
    0.74
     Picks
    0.72
     Thumbnails
    0.70
    stairs
    0.67
     Congratulations
    0.66
     Submit
    0.66
     Emails
    0.66
     Interest
    0.64
    Activations Density 0.013%

    No Known Activations