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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. 17390
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    Explanations

    titles or proper names

    oai_token-act-pair · gpt-3.5-turbo

    visual elements and references, particularly in relation to images and their sources

    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
     Synd
    -0.81
     Cosponsors
    -0.79
    istant
    -0.77
     welf
    -0.75
     Nat
    -0.74
     thous
    -0.72
     NXT
    -0.71
     Eff
    -0.70
     Tik
    -0.70
     Syndicate
    -0.69
    POSITIVE LOGITS
    6
    1.27
     6
    1.18
    six
    0.94
    June
    0.91
     Koz
    0.91
    06
    0.90
    627
    0.87
    626
    0.87
    606
    0.87
     06
    0.86
    Activations Density 0.235%

    No Known Activations