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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. 11-RES-JB
    11. 20589
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     commencement
    -0.68
     Holder
    -0.65
     buckle
    -0.65
     handle
    -0.64
     cheers
    -0.63
     sheet
    -0.62
     Bulldogs
    -0.61
    auri
    -0.60
     dispatch
    -0.59
     Dwell
    -0.59
    POSITIVE LOGITS
    voc
    1.64
    parable
    1.59
    vers
    1.28
    cover
    1.24
    medi
    1.22
    lev
    1.22
    con
    1.20
    place
    1.20
    ve
    1.14
    putable
    1.14
    Activations Density 0.030%

    No Known Activations