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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. 6-RES-JB
    11. 20667
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    Explanations

    personal pronouns followed by verbs

    oai_token-act-pair · gpt-3.5-turbo

    instances of empty or unfilled content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Vin
    -0.69
     Falls
    -0.64
     pans
    -0.63
     trolling
    -0.62
     Cutter
    -0.62
    screen
    -0.61
     vampires
    -0.61
     OG
    -0.60
     Frieza
    -0.60
     Vegeta
    -0.58
    POSITIVE LOGITS
    'm
    1.22
     am
    1.02
    've
    1.01
    rene
    0.96
     conclude
    0.94
     presume
    0.92
     suspect
    0.90
    deals
    0.89
    'll
    0.87
     propose
    0.87
    Activations Density 0.277%

    No Known Activations