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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. 8-RES-JB
    11. 6280
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    oai_token-act-pair · gpt-3.5-turbo

    sentences that present statements or comments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     unsus
    -0.75
     preval
    -0.74
     mosqu
    -0.72
     clerks
    -0.72
     unlucky
    -0.71
     concess
    -0.71
     subsistence
    -0.68
     transact
    -0.68
     plent
    -0.68
     dummy
    -0.67
    POSITIVE LOGITS
     "âĢ¦
    1.20
     "...
    1.14
     "(
    1.08
     "[
    1.07
     "'
    1.06
     Asked
    1.03
     Adds
    1.00
     However
    0.92
     "
    0.92
     Said
    0.90
    Activations Density 0.215%

    No Known Activations