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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. 4-RES-JB
    6. 23764
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    INDEX
    Explanations

    phrases related to involvement with power or authority

    oai_token-act-pair · gpt-3.5-turbo

    the word "with" and phrases indicating associations or relationships

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

    No Comments

    Negative Logits
    soft
    -0.63
    mAh
    -0.59
    obook
    -0.58
    press
    -0.58
    pad
    -0.58
    lish
    -0.55
    Angelo
    -0.55
    reader
    -0.55
    hood
    -0.54
    book
    -0.54
    POSITIVE LOGITS
     regard
    1.46
     regards
    1.38
    stood
    1.36
     respect
    1.16
    draw
    1.13
    drawn
    1.06
     impunity
    1.04
    standing
    1.00
    holding
    0.88
     dignity
    0.84
    Activations Density 0.309%

    No Known Activations