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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. 8-RES-JB
    11. 12529
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    Explanations

    sports team names

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals or groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    avorite
    -0.75
    chio
    -0.73
     embr
    -0.68
     charm
    -0.67
     charter
    -0.67
     paperback
    -0.66
     conduc
    -0.66
    acha
    -0.66
    izer
    -0.65
     bullies
    -0.65
    POSITIVE LOGITS
    âĢ
    1.83
     âĢ
    1.07
    ãĢ
    1.07
    Â
    0.99
    âĪ
    0.99
    âī
    0.99
    âĢł
    0.99
    âĺ
    0.99
    ··
    0.97
    âľ
    0.97
    Activations Density 0.310%

    No Known Activations