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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. 1823
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    Explanations

    hyphenated words starting with "non-" and phrases related to non-profit organizations

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to non-emergency situations

    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
    Not in Any Lists

    No Comments

    Negative Logits
     Brus
    -0.81
     Bam
    -0.77
     Ney
    -0.74
     Lent
    -0.73
     Led
    -0.73
     Barron
    -0.71
     Wonderland
    -0.70
     Grill
    -0.70
     Stre
    -0.69
     Zup
    -0.68
    POSITIVE LOGITS
    existent
    1.82
    profit
    1.62
    profits
    1.41
    violent
    1.35
    linear
    1.35
    partisan
    1.34
    traditional
    1.33
    governmental
    1.32
    compliance
    1.31
    lethal
    1.31
    Activations Density 0.039%

    No Known Activations