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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. 6-RES-JB
    6. 6482
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    INDEX
    Explanations

    personal reflection or commentary within sentences

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing concern or caution

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     targ
    -0.80
    è¦ļéĨĴ
    -0.79
    ipers
    -0.78
    area
    -0.71
    rir
    -0.68
    artney
    -0.66
    raq
    -0.66
     explan
    -0.64
     faintly
    -0.63
    battle
    -0.63
    POSITIVE LOGITS
     somew
    0.69
     Penguin
    0.69
     none
    0.66
     neither
    0.65
    chery
    0.65
     ignorance
    0.62
    nob
    0.61
    imaru
    0.61
     Meow
    0.61
     injuries
    0.59
    Activations Density 0.132%

    No Known Activations