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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. 6-RES-JB
    11. 4291
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    Explanations

    numerical expressions appearing in textual content

    oai_token-act-pair · gpt-3.5-turbo

    the pronoun "he."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hips
    -0.94
     GEAR
    -0.69
     eleph
    -0.65
    ENTS
    -0.64
    ieties
    -0.62
    ensional
    -0.61
    govtrack
    -0.61
     gems
    -0.61
    iott
    -0.61
    iameter
    -0.60
    POSITIVE LOGITS
    atre
    1.05
    isure
    1.02
    gan
    0.99
    ller
    0.98
    brew
    0.97
    lda
    0.97
    llers
    0.92
    lling
    0.91
    aton
    0.90
    nder
    0.90
    Activations Density 0.024%

    No Known Activations