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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. 2-RES-JB
    11. 1767
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    Explanations

    phrases or descriptions related to physical locations or settings

    oai_token-act-pair · gpt-3.5-turbo

    terms related to visual elements or settings in narratives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ldon
    -0.80
    ishable
    -0.79
    alties
    -0.79
    secut
    -0.78
    ishops
    -0.76
    cial
    -0.75
    ike
    -0.73
    uct
    -0.71
    iya
    -0.69
    umerable
    -0.69
    POSITIVE LOGITS
     backdrop
    1.42
    GROUND
    0.88
    drops
    0.78
     silhou
    0.72
     attRot
    0.72
     EDITION
    0.71
    theme
    0.70
    FORE
    0.68
    )=(
    0.67
    ĸļ
    0.67
    Activations Density 0.006%

    No Known Activations