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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 21911
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    INDEX
    Explanations

    adjectives followed by numbers indicating quantity or importance

    oai_token-act-pair · gpt-3.5-turbo

    important descriptors or adjectives indicating significance or magnitude

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    someone
    -0.91
    antry
    -0.82
    urgy
    -0.81
    expression
    -0.76
    ylum
    -0.75
    cture
    -0.71
    actionDate
    -0.69
    ulture
    -0.69
    activity
    -0.69
    culation
    -0.69
    POSITIVE LOGITS
     paragraphs
    1.11
     categories
    1.09
     generations
    1.06
     thirds
    1.04
     pairs
    1.03
     versions
    1.01
     batches
    1.01
     editions
    0.99
     fronts
    0.99
     districts
    0.99
    Activations Density 0.214%

    No Known Activations