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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. 10-RES-JB
    11. 7805
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    Explanations

    dates and events happening on specific days

    oai_token-act-pair · gpt-3.5-turbo

    future events or occurrences that are planned or scheduled

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     barking
    -0.78
     resisting
    -0.73
     typing
    -0.72
     cooperating
    -0.71
     biting
    -0.70
     liking
    -0.69
     digging
    -0.69
     trustworthy
    -0.67
     Anon
    -0.67
     trusting
    -0.66
    POSITIVE LOGITS
     culmin
    1.43
     coincide
    1.24
     occur
    1.23
     commemorate
    1.15
     consist
    1.12
     unfold
    1.11
     commence
    1.10
     lasted
    1.08
     involve
    1.07
     showcase
    1.06
    Activations Density 0.159%

    No Known Activations