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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. 12-RES-JB
    11. 4347
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    Explanations

    sports-related terms or updates

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    numerical statistics and data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     CU
    -0.86
     Braun
    -0.80
    Els
    -0.79
    Wisconsin
    -0.76
    CU
    -0.74
     Geral
    -0.73
    Balt
    -0.73
    Walker
    -0.73
    Anderson
    -0.72
     Andersen
    -0.72
    POSITIVE LOGITS
     Ph
    2.52
    Ph
    2.43
     ph
    2.06
    ph
    2.04
     PH
    1.82
     Phant
    1.73
    PH
    1.66
     Phill
    1.60
     Philly
    1.49
     Phantom
    1.46
    Activations Density 0.298%

    No Known Activations