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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. 1-RES-JB
    11. 7343
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    Explanations

    references to different types of chains, potentially including the 'Chainsmokers'

    oai_token-act-pair · gpt-3.5-turbo

    references to chains or chain-related concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sburgh
    -0.77
    Marginal
    -0.75
     Physicians
    -0.75
    00200000
    -0.74
    dL
    -0.73
     Leah
    -0.71
     Dob
    -0.69
     Parkinson
    -0.69
     Gors
    -0.68
     Hague
    -0.68
    POSITIVE LOGITS
     chains
    1.42
     chain
    1.06
    chains
    1.00
    chain
    0.95
     Chains
    0.92
    worms
    0.91
    becue
    0.90
    ammy
    0.88
     chained
    0.88
    aws
    0.87
    Activations Density 0.004%

    No Known Activations