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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. 10-RES-JB
    11. 4392
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    Explanations

    questions or requests in the form of direct speech

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    absor
    -0.76
    âĸ¬
    -0.75
    edition
    -0.72
    ãĥ¼ãĥĨãĤ£
    -0.70
    Interstitial
    -0.65
    ãĥİ
    -0.63
    vertisement
    -0.62
    azeera
    -0.62
    ãĤ´ãĥ³
    -0.60
    joice
    -0.60
    POSITIVE LOGITS
     rhet
    1.32
     whether
    1.16
     why
    1.15
     if
    1.13
     questions
    1.07
     aloud
    0.96
    wered
    0.95
     WHY
    0.94
     forgiveness
    0.93
     him
    0.91
    Activations Density 0.046%

    No Known Activations