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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. 6-RES-JB
    11. 10779
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    Explanations

    phrases referring to providing or seeking information and resources

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating sources of additional information or resources

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.85
    gger
    -0.69
    ãĤ´ãĥ³
    -0.67
    berries
    -0.63
     Azerb
    -0.62
     rug
    -0.62
     stuffing
    -0.61
    gd
    -0.61
     hemor
    -0.61
    Redditor
    -0.61
    POSITIVE LOGITS
     purposes
    0.78
    enter
    0.65
    aceous
    0.63
    inkle
    0.63
     adventurous
    0.63
     sake
    0.61
     refres
    0.60
     related
    0.57
     KH
    0.57
    ffect
    0.56
    Activations Density 0.089%

    No Known Activations