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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 8-RES-JB
    11. 24284
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    Explanations

    specific entities or concepts related to a certain category or group

    oai_token-act-pair · gpt-3.5-turbo

    terms and concepts associated with specificity and categorization

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DERR
    -0.64
    perse
    -0.63
     contrace
    -0.61
    Bir
    -0.58
     condem
    -0.58
    imming
    -0.58
    cknowled
    -0.57
    ateurs
    -0.57
    DK
    -0.56
     kidding
    -0.56
    POSITIVE LOGITS
    ãĤ¡
    0.72
     imaginable
    0.70
     ('
    0.69
    ategories
    0.68
     or
    0.67
     (<
    0.65
     group
    0.65
    artment
    0.64
    azaki
    0.63
     depending
    0.62
    Activations Density 0.291%

    No Known Activations