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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. 0-RES-JB
    11. 538
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    Explanations

    words related to medical procedures and sports equipment

    oai_token-act-pair · gpt-3.5-turbo

    references to medical instruments and sports equipment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    opol
    -0.69
    vern
    -0.68
    ends
    -0.67
    arded
    -0.66
    eworks
    -0.65
    ides
    -0.62
     Gren
    -0.61
    ards
    -0.61
    alion
    -0.61
    mon
    -0.61
    POSITIVE LOGITS
     needle
    3.15
     puck
    1.37
     bead
    1.02
     cursor
    1.00
     stitch
    0.99
     digit
    0.97
     sleeve
    0.94
    iral
    0.93
     nipple
    0.91
    horn
    0.90
    Activations Density 0.010%

    No Known Activations