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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. 4188
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    oai_token-act-pair · gpt-3.5-turbo

    punctuation marks, particularly commas

    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
    mos
    -0.74
    cel
    -0.70
    enz
    -0.68
     nearby
    -0.67
    robe
    -0.66
    urus
    -0.66
    hedral
    -0.66
    iple
    -0.64
     Spani
    -0.62
    animate
    -0.62
    POSITIVE LOGITS
     wherein
    1.10
     namely
    1.07
     noting
    1.06
     albeit
    1.06
     which
    1.03
     citing
    1.01
     whereby
    1.00
     although
    0.97
    which
    0.87
     titled
    0.86
    Activations Density 0.501%

    No Known Activations