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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. 5-RES-JB
    6. 4231
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    INDEX
    Explanations

    phrases indicating increasing quantity or intensity

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions and phrases indicating a relationship of addition or comparison

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ij士
    -0.73
    RAW
    -0.70
     Peaks
    -0.65
    ãĤ´ãĥ³
    -0.65
     robber
    -0.64
     Sparrow
    -0.64
     Saud
    -0.64
     Blaz
    -0.63
     Bulgar
    -0.63
     Cros
    -0.62
    POSITIVE LOGITS
    vous
    0.87
    ificantly
    0.86
    angled
    0.78
     than
    0.77
    than
    0.76
    efficient
    0.76
    acho
    0.76
    fficient
    0.75
    cientious
    0.74
    itably
    0.74
    Activations Density 0.141%

    No Known Activations