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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. 9894
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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
    Not in Any Lists

    No Comments

    Negative Logits
    mun
    -0.60
    ston
    -0.55
    ãĥ£
    -0.54
    atorium
    -0.54
     UFO
    -0.53
    Phys
    -0.53
    OV
    -0.52
    nee
    -0.52
    à¤
    -0.51
    Stud
    -0.51
    POSITIVE LOGITS
    hips
    1.00
    ilver
    0.95
    ystem
    0.95
    pace
    0.94
    pring
    0.93
    paces
    0.92
    aurus
    0.92
    mith
    0.89
    poons
    0.89
    hip
    0.86
    Activations Density 0.744%

    No Known Activations