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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. 17486
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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
    ipeg
    -0.62
    emouth
    -0.60
    answered
    -0.58
    EStream
    -0.56
    natureconservancy
    -0.55
    lehem
    -0.54
     ACTIONS
    -0.53
    aroo
    -0.52
    userc
    -0.50
    ãģ®å®
    -0.50
    POSITIVE LOGITS
    redo
    0.58
    aires
    0.53
    eros
    0.51
    clave
    0.50
     Balk
    0.49
     Sanct
    0.48
    anca
    0.48
     Faust
    0.48
    Balt
    0.46
    ongh
    0.46
    Activations Density 1.164%

    No Known Activations