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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. 3-RES-JB
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    Explanations

    the word "hel" or "helix"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "hel" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Rated
    -0.86
     entangled
    -0.67
     nomine
    -0.66
     CFR
    -0.63
     famous
    -0.62
     retrospective
    -0.62
     infamous
    -0.62
     fierce
    -0.61
     NTS
    -0.61
    EED
    -0.59
    POSITIVE LOGITS
    tered
    1.11
    ters
    0.94
    mand
    0.93
    hel
    0.92
    mes
    0.92
    iman
    0.91
    tering
    0.90
    icho
    0.88
    brook
    0.88
    idge
    0.88
    Activations Density 0.006%

    No Known Activations