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

    words ending in 'er' with an activation value of 9 or 10

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various roles and professions that end in "er."

    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
    ĸļ
    -0.93
    ciating
    -0.81
    acebook
    -0.72
     disadvant
    -0.71
    eenth
    -0.69
    chwitz
    -0.68
    sembly
    -0.66
    aeda
    -0.66
    itars
    -0.66
    buquerque
    -0.65
    POSITIVE LOGITS
    jee
    0.91
    idge
    0.85
     beware
    0.83
    geist
    0.80
    ger
    0.76
    gger
    0.76
    aton
    0.75
    idan
    0.73
    mens
    0.73
    lich
    0.73
    Activations Density 0.041%

    No Known Activations