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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. 7-RES-JB
    11. 18103
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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 @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
     juggling
    -0.74
     deliveries
    -0.74
     grounding
    -0.73
     reconciliation
    -0.72
     perspect
    -0.72
     tradem
    -0.72
     disadvant
    -0.71
     isolation
    -0.71
     limitations
    -0.70
     proble
    -0.69
    POSITIVE LOGITS
    htm
    0.97
    ctor
    0.91
    clear
    0.86
    edu
    0.86
    NET
    0.84
    png
    0.84
    html
    0.83
    php
    0.83
    jpg
    0.82
    org
    0.81
    Activations Density 0.054%

    No Known Activations