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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. 11-RES-JB
    11. 12157
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    Explanations

    phrases related to stories or narratives

    oai_token-act-pair · gpt-3.5-turbo

    references to various narratives or stories

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    software
    -0.84
     Reserved
    -0.79
    aband
    -0.77
    Software
    -0.74
    ebus
    -0.71
    BSD
    -0.70
    formance
    -0.68
    Agg
    -0.68
     penalties
    -0.67
    Ranked
    -0.66
    POSITIVE LOGITS
    stories
    1.67
     stories
    1.66
     tale
    1.62
     tales
    1.60
     story
    1.53
    story
    1.48
     recounted
    1.43
     narratives
    1.36
     narr
    1.34
     anecdotes
    1.33
    Activations Density 0.375%

    No Known Activations