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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. 16701
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    Explanations

    adjectives emphasizing different aspects of something's quality or state

    oai_token-act-pair · gpt-3.5-turbo

    descriptors of quality and performance in various contexts

    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
    gdala
    -0.81
    roo
    -0.81
    mol
    -0.79
    arthed
    -0.79
    OPA
    -0.78
    udeb
    -0.78
    cha
    -0.75
    completely
    -0.75
    cture
    -0.75
    antha
    -0.74
    POSITIVE LOGITS
     attachments
    1.00
    nesses
    0.94
     surroundings
    0.90
     ones
    0.87
     doses
    0.87
     personalities
    0.87
     amounts
    0.86
     prices
    0.85
     reliance
    0.85
     outlook
    0.85
    Activations Density 0.326%

    No Known Activations