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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. 2-RES-JB
    11. 7708
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    Explanations

    references to "prawn" as a food item

    oai_token-act-pair · gpt-3.5-turbo

    words related to shrimp or prawn products

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    âĸ¬âĸ¬
    -0.72
    onomic
    -0.70
    ãĥ¤
    -0.66
    onom
    -0.65
     Chamberlain
    -0.63
     Violence
    -0.62
    âĹı
    -0.61
     è£ı
    -0.60
    âĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢâĶĢ
    -0.59
    WP
    -0.58
    POSITIVE LOGITS
    sis
    0.98
    iets
    0.94
    iago
    0.93
    irtual
    0.92
    sa
    0.90
    rawn
    0.89
    sets
    0.86
    shaw
    0.86
    enegger
    0.85
    egal
    0.84
    Activations Density 0.016%

    No Known Activations