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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 9585
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    Explanations

    mentions of medals and competitions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of bronze medals and associated accolades in competitive sports contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ibrary
    -0.81
     Neighbor
    -0.80
    Washington
    -0.73
    seless
    -0.70
    umblr
    -0.68
     memos
    -0.68
    Attorney
    -0.67
    gur
    -0.66
    letter
    -0.66
    anamo
    -0.65
    POSITIVE LOGITS
     finals
    1.19
     championship
    1.09
     championships
    1.06
     derby
    1.05
     Championships
    1.05
     Championship
    1.03
     tournament
    1.01
     Finals
    1.01
     rematch
    0.98
    ampions
    0.98
    Activations Density 0.590%

    No Known Activations