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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. 4-RES-JB
    11. 24240
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    Explanations

    contractions of words

    oai_token-act-pair · gpt-3.5-turbo

    possessive forms and certain punctuation marks, suggesting a focus on relationships or actions involving ownership and description

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

    No Comments

    Negative Logits
    ernels
    -0.76
    lees
    -0.76
     channels
    -0.72
    ities
    -0.71
     lines
    -0.69
     departments
    -0.69
     showc
    -0.69
     Houses
    -0.68
    quickShipAvailable
    -0.67
     levers
    -0.67
    POSITIVE LOGITS
     consisting
    0.85
    albeit
    0.78
    ogram
    0.76
     comprised
    0.73
     titled
    0.70
    ixtape
    0.70
     named
    0.70
     resembling
    0.68
     composed
    0.68
     Called
    0.68
    Activations Density 1.147%

    No Known Activations