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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. 9-RES-JB
    6. 14059
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    Explanations

    phrases related to hypothetical scenarios or expectations

    oai_token-act-pair · gpt-3.5-turbo

    conditional or hypothetical phrases indicating expectations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    usha
    -0.63
     revived
    -0.60
     Cance
    -0.59
    ites
    -0.58
    iago
    -0.58
    sei
    -0.57
    gaard
    -0.56
    atta
    -0.56
     expired
    -0.56
     Phelps
    -0.55
    POSITIVE LOGITS
     expect
    0.98
     normally
    0.97
     ordinarily
    0.91
     otherwise
    0.90
     characterize
    0.89
     tolerate
    0.76
     anticipate
    0.75
     deem
    0.75
     imagine
    0.72
     imply
    0.71
    Activations Density 0.099%

    No Known Activations