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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. 4-RES-JB
    11. 875
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    Explanations

    quotations within text

    oai_token-act-pair · gpt-3.5-turbo

    instances of quotation marks or dialogue

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

    No Comments

    Negative Logits
    âĹ¼
    -0.85
    adish
    -0.74
    ̶
    -0.67
    ________
    -0.67
    prototype
    -0.64
    pg
    -0.60
    âĸijâĸij
    -0.60
    âĸij
    -0.59
    ********
    -0.59
    gall
    -0.58
    POSITIVE LOGITS
    iband
    0.90
    ibr
    0.88
    yip
    0.80
    Interstitial
    0.78
    cture
    0.78
    urers
    0.73
    taboola
    0.72
    ité
    0.71
    ivid
    0.71
    enegger
    0.71
    Activations Density 0.045%

    No Known Activations