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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. 20029
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    Explanations

    mentions of the term "ban"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "ban" in 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
     wired
    -0.70
     SPD
    -0.68
     compute
    -0.66
     percentile
    -0.65
     tracks
    -0.63
     readings
    -0.63
    ENTS
    -0.63
     MFT
    -0.62
     gears
    -0.61
     bearings
    -0.61
    POSITIVE LOGITS
    ban
    4.57
    Ban
    2.46
     Ban
    1.62
     ban
    1.56
     bans
    1.40
     Bans
    1.38
     banning
    1.29
    aban
    1.18
    bon
    1.12
    anan
    1.10
    Activations Density 0.011%

    No Known Activations