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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. 3-RES-JB
    11. 23262
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    INDEX
    Explanations

    references to or mentions of videos

    oai_token-act-pair · gpt-3.5-turbo

    references to videos

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ptive
    -0.68
     Newark
    -0.64
     Dew
    -0.63
    姫
    -0.63
    stone
    -0.62
     mend
    -0.60
     contingency
    -0.60
     leukemia
    -0.60
     circumstance
    -0.60
     wedge
    -0.58
    POSITIVE LOGITS
    ynthesis
    1.03
     videos
    1.02
     uploaded
    0.98
    clips
    0.89
    hops
    0.88
    uploads
    0.88
     clips
    0.87
    videos
    0.85
     tutorials
    0.83
    ideo
    0.81
    Activations Density 0.022%

    No Known Activations