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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. 1-RES-JB
    11. 23315
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    Explanations

    acronyms related to organizations or programs

    oai_token-act-pair · gpt-3.5-turbo

    references to operational protocols and regulations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĥīãĥ©ãĤ´ãĥ³
    -1.01
    ãĥĨãĤ£
    -0.77
     Carib
    -0.73
     Monstrous
    -0.69
    ãĤ¨ãĥ«
    -0.68
     Sins
    -0.67
     Dolphins
    -0.66
     Cantor
    -0.66
    ãĥĸ
    -0.64
    ãģ®å®
    -0.64
    POSITIVE LOGITS
    olicy
    1.22
    OP
    1.22
    rompt
    1.21
    ratulations
    1.09
    rint
    1.04
    yright
    1.03
    inion
    1.02
    etition
    1.02
    TAIN
    1.01
    osite
    0.97
    Activations Density 0.007%

    No Known Activations