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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. 2253
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    INDEX
    Explanations

    phrases related to admiration or emphasis

    oai_token-act-pair · gpt-3.5-turbo

    expressions of amazement or positivity

    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
    pai
    -0.84
    epad
    -0.75
    pex
    -0.73
    few
    -0.71
    avis
    -0.68
    cliffe
    -0.67
    eper
    -0.66
    epend
    -0.65
    licts
    -0.64
    idation
    -0.64
    POSITIVE LOGITS
     feats
    0.89
    NESS
    0.81
     rendition
    0.80
     coincidence
    0.78
     teamwork
    0.78
     sounding
    0.75
     synergy
    0.75
     creations
    0.73
    !!!!!
    0.73
     proportions
    0.71
    Activations Density 0.073%

    No Known Activations