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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. 5011
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    Explanations

    phrases related to emphasizing or distinguishing specific points

    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 @ 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
     reperto
    -0.79
    grounds
    -0.68
    agher
    -0.62
    ngth
    -0.57
    ItemTracker
    -0.56
    MpServer
    -0.56
    7601
    -0.54
    inez
    -0.52
    pots
    -0.52
     misunder
    -0.52
    POSITIVE LOGITS
     course
    2.04
    course
    1.69
     Course
    1.47
     COUR
    1.47
    Course
    1.20
    ortunately
    1.06
     sorts
    1.05
     necessity
    0.95
     courses
    0.94
    elia
    0.81
    Activations Density 0.083%

    No Known Activations