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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. 9-RES-JB
    11. 17112
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    Explanations

    phrases related to societal or political issues

    oai_token-act-pair · gpt-3.5-turbo

    elements of gratitude and recognition, particularly towards women and community contributions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iple
    -0.71
    iatus
    -0.67
    è£ħ
    -0.65
    SIGN
    -0.63
    ãĤ¦ãĤ¹
    -0.63
    MpServer
    -0.63
    DragonMagazine
    -0.62
    emonium
    -0.62
    hift
    -0.62
    ħĭ
    -0.59
    POSITIVE LOGITS
     namely
    1.31
     regardless
    1.14
     irrespective
    1.11
     whereas
    1.00
     including
    0.93
     albeit
    0.89
     insofar
    0.88
     especially
    0.88
     wherever
    0.86
     rather
    0.86
    Activations Density 0.339%

    No Known Activations