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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. 8-RES-JB
    11. 22579
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    INDEX
    Explanations

    mentions of large quantities or amounts

    oai_token-act-pair · gpt-3.5-turbo

    quantities or measurements of substances or elements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     descriptor
    -0.64
    asus
    -0.61
    less
    -0.61
    redo
    -0.59
    issance
    -0.58
    ties
    -0.58
    Delivery
    -0.57
    sy
    -0.57
    ARD
    -0.57
    Redditor
    -0.57
    POSITIVE LOGITS
    paces
    1.31
    pace
    1.30
    cale
    1.29
    poons
    1.20
    hip
    1.18
    pring
    1.18
    hips
    1.16
    etting
    1.15
    hift
    1.13
    creen
    1.08
    Activations Density 0.283%

    No Known Activations