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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. 0-RES-JB
    6. 21045
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    INDEX
    Explanations

    duplicated letters in words

    oai_token-act-pair · gpt-3.5-turbo

    repeated letter combinations or expressions of laughter

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cogn
    -0.77
    ipal
    -0.76
     Malt
    -0.74
     Lead
    -0.71
     Prospect
    -0.71
     Scand
    -0.69
     Valve
    -0.68
     Stack
    -0.68
     Mesa
    -0.68
     Polar
    -0.67
    POSITIVE LOGITS
    HH
    3.02
    hhhh
    2.68
    hh
    2.53
    hhh
    2.53
    HHHH
    2.34
    aaaa
    2.04
    eeee
    1.90
    OOOO
    1.81
    aaa
    1.80
    ww
    1.76
    Activations Density 0.043%

    No Known Activations