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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. 8-RES-JB
    11. 429
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    Explanations

    phrases indicating information or actions attributed to people in news or reports

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate reported speech or statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     {"
    -0.62
    Zone
    -0.62
    VR
    -0.62
    Import
    -0.59
    Statistics
    -0.59
    please
    -0.59
    STEM
    -0.58
    Newsletter
    -0.57
    brush
    -0.57
    Ter
    -0.57
    POSITIVE LOGITS
     tempted
    0.70
    hap
    0.70
    iere
    0.66
     aback
    0.64
     saying
    0.64
     having
    0.63
    ¶
    0.62
     arranging
    0.61
    ª
    0.61
    ¿
    0.61
    Activations Density 0.106%

    No Known Activations