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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. 10-RES-JB
    11. 21485
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    Explanations

    prepositions followed by locations or destinations

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "the."

    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
     followed
    -0.78
     namely
    -0.74
    thood
    -0.73
    fortunately
    -0.71
    itud
    -0.70
    iam
    -0.68
    女
    -0.64
     strives
    -0.64
    ieties
    -0.64
    uates
    -0.64
    POSITIVE LOGITS
     brink
    1.25
     outskirts
    1.11
     nearest
    1.09
     forefront
    1.09
     cleaners
    1.01
     extremes
    1.00
     bathroom
    1.00
     podium
    0.98
     doorstep
    0.98
     afterlife
    0.98
    Activations Density 0.138%

    No Known Activations