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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. 9-RES-JB
    11. 11692
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    Explanations

    mentions of specific characters or people within a narrative context

    oai_token-act-pair · gpt-3.5-turbo

    references to characters or subjects in a narrative

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lihood
    -0.81
    Bloomberg
    -0.79
    ancial
    -0.78
    Share
    -0.77
    ional
    -0.77
    thood
    -0.75
    IFA
    -0.72
    hips
    -0.71
    iliate
    -0.70
    iversity
    -0.69
    POSITIVE LOGITS
     door
    1.09
     darkness
    1.05
     girl
    1.02
     waiter
    1.00
     doorway
    1.00
     brun
    1.00
     blonde
    0.99
     slightest
    0.99
     remainder
    0.98
     waitress
    0.95
    Activations Density 0.362%

    No Known Activations