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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. 385
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    Explanations

    keywords related to missile launchers and meal preparation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to missiles and weaponry

    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
    Not in Any Lists

    No Comments

    Negative Logits
    ¯¯¯¯¯¯¯¯
    -0.71
    minecraft
    -0.66
    halla
    -0.65
    URA
    -0.62
    Merit
    -0.57
    ãĥ£
    -0.57
    nen
    -0.56
    uffy
    -0.56
    Ore
    -0.56
    hesda
    -0.53
    POSITIVE LOGITS
    eers
    0.65
     Advocate
    0.61
     itself
    0.60
     catcher
    0.58
    stice
    0.58
    plete
    0.57
     shif
    0.55
     impe
    0.55
    agall
    0.54
     intern
    0.53
    Activations Density 0.834%

    No Known Activations