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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. 2645
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    Explanations

    specific terms related to academic institutions or educational settings

    oai_token-act-pair · gpt-3.5-turbo

    institutions or entities associated with education and notable mentions within textual contexts

    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
    Of
    -0.57
    of
    -0.56
     of
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     everybody
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     lots
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     many
    -0.52
     alot
    -0.52
     Of
    -0.51
     amazing
    -0.51
     majorities
    -0.50
    POSITIVE LOGITS
    tein
    0.65
    itution
    0.63
    amaru
    0.63
    ãĤ©
    0.62
    afort
    0.61
    oké
    0.60
    aiden
    0.60
    utm
    0.59
    heit
    0.59
    vironment
    0.59
    Activations Density 0.999%

    No Known Activations