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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. 23816
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    INDEX
    Explanations

    profane and emphatic expressions

    oai_token-act-pair · gpt-3.5-turbo

    expressions of frustration or strong emphasis

    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
    IDS
    -0.69
    OHN
    -0.68
    DN
    -0.64
    KEN
    -0.63
     Flavoring
    -0.62
     quo
    -0.61
    ynthesis
    -0.60
    KY
    -0.57
    amide
    -0.57
    ":""},{"
    -0.57
    POSITIVE LOGITS
    near
    1.05
    ibly
    1.01
    ation
    0.86
    atio
    0.84
    orse
    0.77
     near
    0.74
    ably
    0.72
    ated
    0.72
     damned
    0.72
    emed
    0.72
    Activations Density 0.024%

    No Known Activations