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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. 12616
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    Explanations

    names of athletes in a sports context

    oai_token-act-pair · gpt-3.5-turbo

    instances of the verb "to be" in various forms

    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
     Capitalism
    -0.75
     ®
    -0.74
     Units
    -0.71
    rouse
    -0.70
     Communities
    -0.68
    âĢIJ
    -0.67
     Apart
    -0.67
    lab
    -0.66
     Kant
    -0.65
     computers
    -0.64
    POSITIVE LOGITS
     coaching
    0.98
     undefeated
    0.92
    ovie
    0.91
     coached
    0.90
     undrafted
    0.89
     rumored
    0.88
     preseason
    0.86
     quarterback
    0.86
     underrated
    0.86
    cussion
    0.86
    Activations Density 0.381%

    No Known Activations