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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
    11. 12551
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    Explanations

    instances where something falls short of a specified expectation or threshold

    oai_token-act-pair · gpt-3.5-turbo

    instances where something falls short of a standard or expectation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iquette
    -0.65
    uala
    -0.62
    ellation
    -0.60
    RAW
    -0.60
    ellar
    -0.58
     tamp
    -0.57
    cens
    -0.57
    iol
    -0.57
    yrics
    -0.56
    nu
    -0.55
    POSITIVE LOGITS
    sighted
    1.06
    falls
    0.85
     of
    0.85
    ths
    0.82
    pling
    0.81
    luster
    0.80
    ening
    0.79
    ples
    0.75
    iders
    0.74
    lust
    0.73
    Activations Density 0.039%

    No Known Activations