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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. 9-RES-JB
    11. 17211
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    Explanations

    instances of events or situations being held or organized

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "held" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     deceive
    -0.69
    ologist
    -0.67
    ————
    -0.67
    é¾įå
    -0.65
    ologists
    -0.65
    stasy
    -0.65
     Conquer
    -0.60
     Actress
    -0.58
     adventurer
    -0.56
    ology
    -0.56
    POSITIVE LOGITS
     hostage
    1.11
     accountable
    1.03
     captive
    1.01
     indoors
    0.76
     onto
    0.74
    erness
    0.74
    holders
    0.73
     sway
    0.72
    holder
    0.72
    orage
    0.71
    Activations Density 0.033%

    No Known Activations