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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 21378
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    Explanations

    proper nouns and their associated details

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific brand or type of product

    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
     fortun
    -0.77
     mutually
    -0.75
     deepening
    -0.74
     fuse
    -0.71
     prominently
    -0.71
     scrut
    -0.70
     WHERE
    -0.70
     mathemat
    -0.70
     funnel
    -0.68
     levers
    -0.67
    POSITIVE LOGITS
    ï¸ı
    1.17
    ski
    1.08
    iversary
    0.95
    ship
    0.93
    tsy
    0.91
    sky
    0.90
    mas
    0.89
    sin
    0.88
    tal
    0.88
    ember
    0.87
    Activations Density 0.282%

    No Known Activations