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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. 10047
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    Explanations

    phrases related to daily activities or routines

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to time, specifically "day-to-day" references

    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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    No Comments

    Negative Logits
     reluct
    -0.71
    ©¶æ¥µ
    -0.66
    ailability
    -0.65
     adolesc
    -0.56
     cumbers
    -0.54
     undermin
    -0.54
     proport
    -0.54
    ŃĶ
    -0.54
    ĸļ
    -0.53
     unnecess
    -0.52
    POSITIVE LOGITS
    -
    0.94
    pping
    0.74
    -[
    0.71
    ilet
    0.70
    dden
    0.69
    -$
    0.69
    -,
    0.69
    _-_
    0.69
    '-
    0.65
    -(
    0.64
    Activations Density 0.017%

    No Known Activations