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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. 6-RES-JB
    11. 9364
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    Explanations

    references to where something can be streamed

    oai_token-act-pair · gpt-3.5-turbo

    references to streaming services or platforms

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    acter
    -0.85
    ¯¯
    -0.75
    ynt
    -0.71
    ikan
    -0.70
    icidal
    -0.66
    ctor
    -0.64
    Abstract
    -0.63
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.63
     selves
    -0.62
    Allah
    -0.61
    POSITIVE LOGITS
     behalf
    1.30
    demand
    0.99
    etime
    0.97
    Demand
    0.93
    site
    0.92
     Demand
    0.92
     Youtube
    0.90
     YouTube
    0.90
     youtube
    0.90
    sets
    0.88
    Activations Density 0.217%

    No Known Activations