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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. 10660
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    Explanations

    computer programming code patterns, specifically related to defining parameters and procedures

    oai_token-act-pair · gpt-3.5-turbo

    HTML and code-related parameters or attributes

    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
    bush
    -0.80
    hom
    -0.78
    Hom
    -0.70
    mma
    -0.63
    Hop
    -0.63
    Beat
    -0.62
    wcs
    -0.62
    bent
    -0.62
    ML
    -0.61
    Dim
    -0.61
    POSITIVE LOGITS
     rall
    0.63
    ivably
    0.63
     Kev
    0.63
     Decoder
    0.62
     awa
    0.61
    ]);
    0.60
     Swordsman
    0.60
     reel
    0.59
     obs
    0.59
    catentry
    0.59
    Activations Density 0.241%

    No Known Activations