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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. 10651
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    INDEX
    Explanations

    adverbs and quantifying phrases

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate universality or generality

    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
    ubi
    -0.71
    uel
    -0.69
    aline
    -0.65
     Dull
    -0.64
    clus
    -0.63
     Dod
    -0.61
    poke
    -0.60
     Bard
    -0.60
    bek
    -0.60
    uers
    -0.60
    POSITIVE LOGITS
     imaginable
    0.86
    hyde
    0.79
    STD
    0.74
     conceivable
    0.74
     partName
    0.68
    WAYS
    0.68
    代
    0.67
    WHERE
    0.66
    itsu
    0.65
    Ùĩ
    0.65
    Activations Density 0.073%

    No Known Activations