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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. 366
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    oai_token-act-pair · gpt-3.5-turbo

    parentheses used in the context of statistics or references

    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
     wre
    -0.82
     retard
    -0.79
     lull
    -0.74
     ris
    -0.71
     creep
    -0.70
     hazards
    -0.69
     dow
    -0.68
     afford
    -0.65
     react
    -0.65
     calming
    -0.65
    POSITIVE LOGITS
    formerly
    1.45
    which
    1.40
    sic
    1.33
    via
    1.32
    excluding
    1.32
    pictured
    1.29
    although
    1.28
    including
    1.28
    aka
    1.26
    whose
    1.22
    Activations Density 0.169%

    No Known Activations