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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. 11894
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    Explanations

    phrases indicating strong opinions or calls to action

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "MORE" in various contexts

    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
    ãĥ¼ãĥĨãĤ£
    -0.88
    ãĤ©
    -0.78
    ãĥ¥
    -0.69
    Tu
    -0.67
    ãĥĨãĤ£
    -0.66
     Columb
    -0.66
    Tur
    -0.65
     gra
    -0.63
     Pix
    -0.60
     eg
    -0.59
    POSITIVE LOGITS
    iciary
    0.77
     Jr
    0.73
     allies
    0.69
    uchin
    0.68
    alian
    0.67
     ally
    0.67
    ellen
    0.65
     VIDEOS
    0.65
     Democrat
    0.65
     confid
    0.65
    Activations Density 0.025%

    No Known Activations