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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. 10-RES-JB
    11. 5514
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    Explanations

    mentions of bans or prohibitions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "ban" or its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     IMAGES
    -0.70
     Fired
    -0.67
     Generations
    -0.66
     rendition
    -0.66
     Editors
    -0.66
     Apostles
    -0.64
     calibration
    -0.63
     Turk
    -0.62
     Io
    -0.60
     prest
    -0.58
    POSITIVE LOGITS
    ishment
    1.38
    ishing
    1.18
    nered
    1.17
    eful
    1.11
    hammer
    1.09
    jo
    1.08
    ished
    1.05
    zai
    1.04
    hee
    1.03
    quet
    1.00
    Activations Density 0.040%

    No Known Activations