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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. 4223
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    Explanations

    mentions of time periods emphasizing difficulty or challenge

    oai_token-act-pair · gpt-3.5-turbo

    references to time periods and their challenges

    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
    Increases
    -0.70
     dams
    -0.66
    Fac
    -0.62
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.60
    XP
    -0.60
    orem
    -0.59
     Incre
    -0.59
    origin
    -0.58
     hooks
    -0.58
    API
    -0.58
    POSITIVE LOGITS
     indeed
    0.89
     filled
    0.79
    mare
    0.76
     ahead
    0.74
    dream
    0.73
    night
    0.72
     aboard
    0.72
    scill
    0.71
     toget
    0.70
    ful
    0.70
    Activations Density 0.150%

    No Known Activations