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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. 11-RES-JB
    11. 13927
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    Explanations

    phrases related to a wide range of topics or activities

    oai_token-act-pair · gpt-3.5-turbo

    references to reasons, purposes, and a variety of topics or factors

    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
    ebook
    -0.73
    ILA
    -0.70
    enne
    -0.69
    IELD
    -0.67
    awar
    -0.65
    atown
    -0.61
    eka
    -0.59
    oba
    -0.59
     Fury
    -0.59
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.58
    POSITIVE LOGITS
     including
    1.69
     ranging
    1.49
    including
    1.29
     Including
    1.26
     besides
    1.23
     includ
    1.19
     simultaneously
    1.09
     namely
    1.03
     totaling
    1.03
     relating
    1.03
    Activations Density 0.453%

    No Known Activations