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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. 10-RES-JB
    11. 10478
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    Explanations

    references to press releases and media entities

    oai_token-act-pair · gpt-3.5-turbo

    references to specific media entities or productions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ©¶æ¥µ
    -0.77
    pires
    -0.70
    pired
    -0.66
    adra
    -0.63
    §
    -0.60
    medium
    -0.60
    thens
    -0.58
    pees
    -0.58
    Ļ
    -0.58
    ¿
    -0.57
    POSITIVE LOGITS
     overview
    1.03
     vs
    1.03
     specifics
    0.99
     FAQ
    0.99
     breakdown
    0.97
     details
    0.96
     reactions
    0.95
     examples
    0.93
     impressions
    0.91
     quotes
    0.90
    Activations Density 0.439%

    No Known Activations