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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. 9-RES-JB
    11. 24132
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    Explanations

    language referencing examples and instances

    oai_token-act-pair · gpt-3.5-turbo

    sentences that introduce examples or instances

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    bleacher
    -0.65
    soType
    -0.64
    buster
    -0.61
     intervened
    -0.61
    lor
    -0.60
    orean
    -0.59
    Eat
    -0.59
     beg
    -0.59
    lahoma
    -0.59
    eat
    -0.58
    POSITIVE LOGITS
     example
    1.80
     instance
    1.56
    bidden
    1.24
    cing
    1.22
     simplicity
    1.18
     Example
    1.16
    gotten
    1.12
     purposes
    1.12
    give
    1.08
     starters
    1.07
    Activations Density 0.074%

    No Known Activations