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

    the word "many."

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "many" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    acus
    -1.00
    adish
    -0.85
    atism
    -0.77
    agate
    -0.73
    onomy
    -0.72
    etry
    -0.71
    atum
    -0.70
    uality
    -0.70
    rax
    -0.69
    ocracy
    -0.69
    POSITIVE LOGITS
     times
    0.95
    body
    0.84
     iterations
    0.78
     facets
    0.77
     dozen
    0.77
     nights
    0.75
     thousands
    0.74
    een
    0.72
     millions
    0.72
     hundred
    0.72
    Activations Density 0.070%

    No Known Activations