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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. 2517
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    Explanations

    phrases containing the letter 'w' followed by 'ing'

    oai_token-act-pair · gpt-3.5-turbo
    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
    Not in Any Lists

    No Comments

    Negative Logits
     Lumpur
    -0.68
     culp
    -0.66
     disclosing
    -0.64
     submission
    -0.63
     anonymity
    -0.63
     inhibition
    -0.63
    uate
    -0.62
     fracturing
    -0.60
     responsibility
    -0.59
     coupling
    -0.58
    POSITIVE LOGITS
    iggle
    1.31
    icket
    1.25
    affles
    1.24
    affle
    1.24
    ither
    1.23
    acky
    1.21
    atson
    1.21
    ithering
    1.20
    alt
    1.20
    ickets
    1.19
    Activations Density 0.015%

    No Known Activations