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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. 3-RES-JB
    6. 2790
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    Explanations

    names of individuals, organizations, and places mentioned in news articles

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and names of people or organizations associated with significant actions or statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    $.
    -0.64
    ]."
    -0.62
     respectively
    -0.60
    }.
    -0.58
    ".
    -0.53
     thereof
    -0.53
    .).
    -0.52
    )."
    -0.50
    '."
    -0.50
    ."[
    -0.49
    POSITIVE LOGITS
     âĢº
    0.50
     partName
    0.49
     FANTASY
    0.48
    reenshots
    0.45
    iple
    0.44
    ccording
    0.42
    atform
    0.42
    odcast
    0.41
     QUEST
    0.41
     largeDownload
    0.40
    Activations Density 5.998%

    No Known Activations