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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. 22628
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    Explanations

    settings and locations of stories

    oai_token-act-pair · gpt-3.5-turbo

    settings or locations in stories

    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
    Not in Any Lists

    No Comments

    Negative Logits
    lime
    -0.82
    ipedia
    -0.80
    imentary
    -0.79
    bite
    -0.74
    ktop
    -0.74
     waivers
    -0.73
    Stack
    -0.70
    inventoryQuantity
    -0.68
    Notice
    -0.67
    apt
    -0.67
    POSITIVE LOGITS
     protagonist
    0.95
     actors
    0.93
     dystopian
    0.89
     characters
    0.88
     narration
    0.87
     fictional
    0.87
     narr
    0.85
     Narr
    0.83
     protagonists
    0.83
     dystop
    0.83
    Activations Density 0.378%

    No Known Activations