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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. 11-RES-JB
    11. 7049
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    Explanations

    mentions related to specific years or time periods

    oai_token-act-pair · gpt-3.5-turbo

    references to specific years or time periods

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    vae
    -0.65
    Often
    -0.64
    ggles
    -0.64
    mber
    -0.62
     fixation
    -0.62
    Recently
    -0.61
    urdy
    -0.60
     Chaser
    -0.59
    ãĤ¤ãĥĪ
    -0.59
    usual
    -0.57
    POSITIVE LOGITS
     alone
    1.54
     totaling
    1.06
     compared
    0.99
     combined
    0.94
    according
    0.89
    alone
    0.87
     according
    0.86
    *.
    0.84
     attributable
    0.82
     excluding
    0.81
    Activations Density 0.212%

    No Known Activations