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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. 10653
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    Explanations

    numerical values or measurements with units

    oai_token-act-pair · gpt-3.5-turbo

    instances of the phrase "a" followed by various descriptors, indicating a focus on identifying significant characteristics or classifications

    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
    Edit
    -0.88
    AIDS
    -0.72
    achu
    -0.67
    fn
    -0.67
    edit
    -0.67
    enery
    -0.66
    errors
    -0.66
    boats
    -0.65
    Events
    -0.65
     Emails
    -0.65
    POSITIVE LOGITS
     testament
    1.11
     reminder
    1.11
     culmination
    1.10
     mixture
    1.08
     continuation
    1.07
     mere
    1.02
     reflection
    1.01
     precursor
    0.98
     masterpiece
    0.96
     tad
    0.96
    Activations Density 0.350%

    No Known Activations