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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. 16288
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    Explanations

    words or phrases related to measurements or comparisons

    oai_token-act-pair · gpt-3.5-turbo

    negative descriptors or phrases related to criticism

    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
    PsyNetMessage
    -0.90
    ROR
    -0.66
    OPA
    -0.65
     whims
    -0.64
     Cosponsors
    -0.64
     uproar
    -0.64
    esson
    -0.63
    è¦ļéĨĴ
    -0.63
     frenzy
    -0.62
    iaz
    -0.61
    POSITIVE LOGITS
    eyed
    1.08
    edged
    1.04
    bottom
    1.03
    faced
    1.01
    bott
    0.93
    skinned
    0.92
    lining
    0.92
    up
    0.91
    headed
    0.89
    haired
    0.88
    Activations Density 0.032%

    No Known Activations