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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. 13645
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    Explanations

    names mentioned in the text

    oai_token-act-pair · gpt-3.5-turbo

    the name "Mark" with varying frequencies in the text

    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
    ILLE
    -0.75
    urses
    -0.70
     decomp
    -0.67
    UGE
    -0.64
    abama
    -0.63
    dayName
    -0.63
    foreseen
    -0.61
    Interstitial
    -0.60
     nerv
    -0.60
    bably
    -0.60
    POSITIVE LOGITS
     Twain
    1.30
    eting
    1.26
     Zuckerberg
    1.20
    ipl
    1.17
    eters
    1.12
    edly
    1.08
    owitz
    1.08
    iewicz
    0.95
    ovic
    0.94
    erness
    0.93
    Activations Density 0.021%

    No Known Activations