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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. 10-RES-JB
    11. 11565
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    INDEX
    Explanations

    phrases related to actions or behaviors in a public setting

    oai_token-act-pair · gpt-3.5-turbo

    references to public and private actions or discussions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cknowled
    -0.65
    icent
    -0.65
    illin
    -0.64
     deductible
    -0.62
    insula
    -0.61
     itch
    -0.60
    inguished
    -0.59
    itle
    -0.58
    andum
    -0.58
    gged
    -0.57
    POSITIVE LOGITS
     mode
    1.05
     guise
    1.02
    rooms
    0.95
     circles
    0.85
     situations
    0.83
     booths
    0.83
     settings
    0.81
     classrooms
    0.81
     contexts
    0.80
    boxes
    0.80
    Activations Density 0.216%

    No Known Activations