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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. 12452
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    INDEX
    Explanations

    words and phrases indicating positive or negative evaluation

    oai_token-act-pair · gpt-3.5-turbo

    phrases that evaluate actions or circumstances as either good or bad

    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
     largeDownload
    -0.72
    uum
    -0.71
    oufl
    -0.71
    geons
    -0.70
    zing
    -0.67
    ardless
    -0.66
    uates
    -0.65
    ensitive
    -0.65
    othal
    -0.63
    ADRA
    -0.63
    POSITIVE LOGITS
     happened
    1.01
     happening
    0.95
     happen
    0.92
     happens
    0.84
     happ
    0.77
    Else
    0.76
     imaginable
    0.74
    iverse
    0.71
     Happ
    0.71
     Done
    0.66
    Activations Density 0.045%

    No Known Activations