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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. 10-RES-JB
    6. 14374
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to identification or personal details

    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
    naissance
    -0.62
     Annotations
    -0.61
    PDATE
    -0.61
    atten
    -0.59
    prising
    -0.57
    senal
    -0.56
     151
    -0.55
    cffff
    -0.54
    attering
    -0.54
     whichever
    -0.53
    POSITIVE LOGITS
     is
    1.33
    is
    1.15
     IS
    1.02
     Is
    0.99
     isn
    0.95
     are
    0.93
     was
    0.91
    are
    0.80
    isin
    0.77
    Is
    0.77
    Activations Density 0.241%

    No Known Activations