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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. 11-RES-JB
    6. 10966
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    Explanations

    terms related to familiarity or lack of familiarity with various subjects

    oai_token-act-pair · gpt-3.5-turbo

    terms related to familiarity and understanding of conditions or concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    åī
    -0.52
    utm
    -0.51
    ²¾
    -0.49
    ampa
    -0.48
    OUT
    -0.47
    tein
    -0.46
    tera
    -0.46
    wolves
    -0.46
    °
    -0.45
    catentry
    -0.45
    POSITIVE LOGITS
     with
    1.25
     withd
    1.23
     WITH
    1.21
    with
    1.14
     With
    1.07
    With
    1.02
    WithNo
    1.00
    lished
    0.77
    icating
    0.75
     wi
    0.69
    Activations Density 0.462%

    No Known Activations