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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. 4-RES-JB
    11. 15913
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    Explanations

    academic titles and fields of study

    oai_token-act-pair · gpt-3.5-turbo

    references to academic disciplines and their associated professors

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

    No Comments

    Negative Logits
     zipper
    -0.73
     curtains
    -0.71
     pim
    -0.71
    ptoms
    -0.69
     headlights
    -0.68
     pods
    -0.68
    boats
    -0.68
     trailers
    -0.68
     reinforcements
    -0.68
     trailer
    -0.67
    POSITIVE LOGITS
     Applied
    0.87
     humanities
    0.84
     Mathematics
    0.84
     Studies
    0.83
     Physics
    0.78
     Medicine
    0.77
    ingu
    0.75
     Fell
    0.75
     Teaching
    0.75
    keley
    0.75
    Activations Density 0.139%

    No Known Activations