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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 9158
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    INDEX
    Explanations

    keywords related to actions or behaviors, especially in the context of criticisms or observations about others' actions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the verb "act" and 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
     Teg
    -0.66
     Flavoring
    -0.65
    nic
    -0.64
    TON
    -0.63
    burn
    -0.62
    ickets
    -0.61
    yip
    -0.61
    Graphics
    -0.60
     Cotton
    -0.60
    fer
    -0.60
    POSITIVE LOGITS
    uate
    1.14
     accordingly
    1.05
    uated
    1.04
     differently
    1.04
     decisively
    1.02
     responsibly
    1.00
     independently
    0.98
     aggressively
    0.98
     impuls
    0.95
     unilaterally
    0.94
    Activations Density 0.045%

    No Known Activations