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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 4-RES-JB
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    Explanations

    the word "lim" and its variations at different locations in the text

    oai_token-act-pair · gpt-3.5-turbo

    the term "lim" in relation to various contexts

    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
    ICLE
    -0.77
     Blessed
    -0.72
     Hurricanes
    -0.63
    DEP
    -0.62
     Ich
    -0.61
    HE
    -0.61
     Kirin
    -0.61
     Citation
    -0.61
    chnology
    -0.60
     Furious
    -0.57
    POSITIVE LOGITS
    psons
    1.10
    entary
    1.05
    pse
    0.94
    onial
    0.94
    olition
    0.93
    bered
    0.92
    lim
    0.91
    inatory
    0.87
    ogy
    0.86
    mie
    0.86
    Activations Density 0.007%

    No Known Activations