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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. 10194
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    Explanations

    details about competitions and contests, particularly focusing on coding challenges and gaming tournaments

    oai_token-act-pair · gpt-3.5-turbo

    competitive activities and contests

    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
    soType
    -0.89
     intrusive
    -0.77
    embed
    -0.70
    esity
    -0.68
    forums
    -0.68
    enance
    -0.66
     solicit
    -0.66
    olia
    -0.65
     unemploy
    -0.65
    rational
    -0.64
    POSITIVE LOGITS
     score
    1.15
     wins
    1.13
     winner
    1.12
     victory
    1.08
     winning
    1.08
     Winners
    1.06
     scorer
    1.03
     runner
    1.02
     runners
    1.00
     scoreboard
    0.98
    Activations Density 0.984%

    No Known Activations