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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. 5656
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    Explanations

    repeated letters in words

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the letter 'e'

    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
    pants
    -0.60
    net
    -0.60
    shire
    -0.57
    clinton
    -0.56
     Clover
    -0.54
     Cance
    -0.54
    REDACTED
    -0.52
    WAYS
    -0.52
    DERR
    -0.51
     Volcano
    -0.51
    POSITIVE LOGITS
    eps
    0.96
    eling
    0.96
    eway
    0.95
    gging
    0.94
    esome
    0.94
    ngth
    0.85
    isters
    0.85
    gged
    0.82
    ggy
    0.82
    ggle
    0.82
    Activations Density 0.065%

    No Known Activations