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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. 4210
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    Explanations

    mentions of specific details like clothing or location tied to a military or espionage context

    oai_token-act-pair · gpt-3.5-turbo

    references to male characters or themes related to masculinity

    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
     mathemat
    -0.67
     Transcript
    -0.66
    rences
    -0.59
     incent
    -0.57
    ocations
    -0.57
     transcripts
    -0.57
     Comprehensive
    -0.57
     accordingly
    -0.56
     respectively
    -0.55
     attRot
    -0.54
    POSITIVE LOGITS
    hid
    0.66
     Masquerade
    0.64
    EStream
    0.64
    oto
    0.63
    osaurus
    0.62
    atcher
    0.61
    itaire
    0.61
    anka
    0.59
    urai
    0.59
    atio
    0.58
    Activations Density 1.268%

    No Known Activations