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    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. 11125
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    instances of numerical values and financial terms

    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
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    Negative Logits
     photograp
    -0.83
     campaigns
    -0.82
     eleph
    -0.82
     pictured
    -0.81
     excav
    -0.79
     undercover
    -0.79
     rehears
    -0.77
     telev
    -0.76
     statewide
    -0.76
     targeted
    -0.75
    POSITIVE LOGITS
    Reply
    1.87
    Anonymous
    1.68
    Reviewer
    1.62
    User
    1.61
    Edited
    1.58
    RAW
    1.55
    Posted
    1.54
    anon
    1.53
    Quote
    1.53
    Subject
    1.53
    Activations Density 0.171%

    No Known Activations