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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. 10-RES-JB
    6. 15250
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    INDEX
    Explanations

    references to companies entering markets and competitive positioning

    oai_token-act-pair · gpt-3.5-turbo

    mentions of new technology market entries and competition

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ©¶æ
    -0.97
    summary
    -0.81
    Statement
    -0.75
    rely
    -0.72
     Ichigo
    -0.69
    liament
    -0.68
    gery
    -0.67
    aration
    -0.67
    HAEL
    -0.67
     summ
    -0.66
    POSITIVE LOGITS
     market
    1.47
     marketplace
    1.43
     niche
    1.37
     markets
    1.34
     lucrative
    1.24
     consumer
    1.14
     emerging
    1.12
     burgeoning
    1.05
     global
    1.05
     smartphone
    1.04
    Activations Density 0.320%

    No Known Activations