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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. 7052
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    oai_token-act-pair · gpt-3.5-turbo

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    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
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    Negative Logits
     turtles
    -0.76
     mosqu
    -0.73
     submerged
    -0.72
     caster
    -0.70
     consequential
    -0.69
     awakening
    -0.68
     landfall
    -0.67
     unsuspecting
    -0.66
     winners
    -0.66
     seams
    -0.65
    POSITIVE LOGITS
     But
    1.00
     Perhaps
    1.00
     Then
    0.96
     That
    0.95
     Instead
    0.94
     Later
    0.93
     Exactly
    0.93
     Asked
    0.92
     However
    0.91
     "...
    0.89
    Activations Density 0.198%

    No Known Activations