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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. 3-RES-JB
    11. 3233
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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 @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ascus
    -0.75
     rink
    -0.73
     Mehran
    -0.68
     injunction
    -0.67
     Petersen
    -0.63
     Franz
    -0.59
     Aberdeen
    -0.58
     Bakr
    -0.58
     Helsinki
    -0.58
    USE
    -0.58
    POSITIVE LOGITS
    ably
    1.03
    ability
    1.03
    ancy
    0.94
    atives
    0.93
    ables
    0.91
    ments
    0.91
    able
    0.84
    abilities
    0.83
    edIn
    0.83
    ality
    0.82
    Activations Density 0.020%

    No Known Activations