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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. 2414
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    Explanations

    technology-related terms, particularly related to graphics processing units (GPUs) and software programming

    oai_token-act-pair · gpt-3.5-turbo

    terms related to frames in visual media or gaming

    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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    No Comments

    Negative Logits
    IUM
    -0.79
     Flavoring
    -0.74
    doms
    -0.73
    BAT
    -0.71
    imony
    -0.69
    icably
    -0.69
    inen
    -0.69
    ité
    -0.68
    irtual
    -0.67
    inav
    -0.66
    POSITIVE LOGITS
    buffer
    1.24
    border
    0.96
    builder
    0.88
    buff
    0.84
    asus
    0.77
    builders
    0.77
    hog
    0.73
    Rate
    0.72
    building
    0.71
    amera
    0.70
    Activations Density 0.063%

    No Known Activations