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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. 1725
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    Explanations

    verbs or phrases related to subjecting or exposing someone to something, often with negative connotations

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating subjection or external influence on individuals

    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
    case
    -0.73
    bra
    -0.72
    soon
    -0.66
    fox
    -0.66
    ppa
    -0.65
    yssey
    -0.65
    iola
    -0.63
    cube
    -0.63
     headlined
    -0.63
    framework
    -0.62
    POSITIVE LOGITS
     certain
    0.90
     whichever
    0.79
     these
    0.77
     the
    0.77
     various
    0.76
     whatever
    0.74
     a
    0.73
     an
    0.73
     varying
    0.72
     stereotypical
    0.72
    Activations Density 0.231%

    No Known Activations