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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. 3-RES-JB
    11. 18003
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    Explanations

    the phrase "Of course followed by further information or clarification

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "of course."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mented
    -0.77
     kindred
    -0.66
    raped
    -0.65
    aukee
    -0.65
    ilaterally
    -0.64
    alty
    -0.64
    que
    -0.62
    near
    -0.61
     booth
    -0.61
    egg
    -0.60
    POSITIVE LOGITS
    course
    0.83
     COUR
    0.78
    anian
    0.73
     Course
    0.73
     course
    0.72
    ç¥ŀ
    0.68
     Despair
    0.66
    ModLoader
    0.64
    Course
    0.64
     Chomsky
    0.64
    Activations Density 0.020%

    No Known Activations