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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 12321
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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
    ihar
    -0.83
    wcs
    -0.81
    alysed
    -0.75
    ylum
    -0.74
    othal
    -0.70
    etheless
    -0.66
    metadata
    -0.66
    ichever
    -0.66
     advis
    -0.64
     glim
    -0.64
    POSITIVE LOGITS
    icio
    0.77
     Myers
    0.77
     Buk
    0.76
     Baker
    0.73
     Boone
    0.73
     Oaks
    0.72
     Browne
    0.71
     Smith
    0.70
     Kinn
    0.70
     Banks
    0.70
    Activations Density 0.072%

    No Known Activations