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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. 7-RES-JB
    11. 14047
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    Explanations

    names and surnames

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names and titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     citiz
    -0.77
    ICAN
    -0.67
    ////////////////////////////////
    -0.61
    VALUE
    -0.59
    PASS
    -0.58
    ģ«
    -0.58
    kees
    -0.58
    CHR
    -0.57
    ItemThumbnailImage
    -0.56
     seiz
    -0.56
    POSITIVE LOGITS
    redo
    0.68
     Faust
    0.61
    ruary
    0.58
    iasco
    0.55
     Firm
    0.54
     synd
    0.54
     Picks
    0.54
    izard
    0.53
    rency
    0.53
    edo
    0.53
    Activations Density 0.632%

    No Known Activations