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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. 7-RES-JB
    11. 8966
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to abstract concepts and conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     booze
    -0.61
     Tau
    -0.61
     Plate
    -0.60
     Cure
    -0.60
     Frontier
    -0.59
    wards
    -0.59
     mound
    -0.59
     stool
    -0.58
     curfew
    -0.58
     cannabinoid
    -0.58
    POSITIVE LOGITS
     existed
    0.94
     exists
    0.89
    manship
    0.81
    idious
    0.81
    ItemTracker
    0.80
    yll
    0.75
    ersion
    0.74
    yang
    0.74
     exist
    0.73
    lems
    0.71
    Activations Density 0.138%

    No Known Activations