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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. 3447
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    Explanations

    phrases related to the potential occurrence or non-occurrence of events

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to events occurring or not occurring

    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
    itton
    -0.68
    osi
    -0.65
    onomy
    -0.64
    ross
    -0.62
    usra
    -0.62
    ription
    -0.62
    ortment
    -0.61
     brace
    -0.60
     curious
    -0.57
    irin
    -0.57
    POSITIVE LOGITS
     anymore
    1.64
     unless
    1.09
     nor
    1.06
     anywhere
    1.00
     anytime
    0.96
     whatsoever
    0.95
     necessarily
    0.94
    yet
    0.90
     until
    0.87
    unless
    0.87
    Activations Density 0.234%

    No Known Activations