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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 1-RES-JB
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    Explanations

    the word "Abbott" in texts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Abbott."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    early
    -0.75
    llular
    -0.73
    Course
    -0.62
     Viking
    -0.61
     Gaia
    -0.59
     Mister
    -0.59
    uper
    -0.58
    hare
    -0.57
     Thief
    -0.57
    Non
    -0.57
    POSITIVE LOGITS
     Abbott
    1.14
    abad
    1.13
    INGTON
    0.87
    quist
    0.80
    aby
    0.80
     Turnbull
    0.79
    onom
    0.77
    boro
    0.71
    bots
    0.70
    istani
    0.69
    Activations Density 0.005%

    No Known Activations