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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. 9-RES-JB
    11. 2791
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    Explanations

    words related to hauling or carrying heavy loads

    oai_token-act-pair · gpt-3.5-turbo

    the repeated occurrence of the syllable "ha."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    é¾įå¥ij士
    -0.75
    naire
    -0.63
    Leaks
    -0.62
    geist
    -0.61
     multiplier
    -0.61
    oslav
    -0.59
     slides
    -0.58
    sburgh
    -0.56
     scales
    -0.55
     bulletin
    -0.55
    POSITIVE LOGITS
    pless
    1.20
    ilst
    1.15
    ugh
    1.12
    ilty
    1.06
    uling
    1.06
    ptic
    1.04
    ves
    1.01
    ired
    1.00
    pt
    0.97
    ilt
    0.95
    Activations Density 0.021%

    No Known Activations