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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. 10-RES-JB
    11. 8308
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    Explanations

    names of cities or locations

    oai_token-act-pair · gpt-3.5-turbo

    numeric values or ratings associated with significance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     citiz
    -0.67
     Skydragon
    -0.66
    ensibly
    -0.66
     footing
    -0.65
     tremend
    -0.63
    aditional
    -0.62
     ration
    -0.60
    cyclopedia
    -0.60
     flats
    -0.57
    senal
    -0.57
    POSITIVE LOGITS
    ↵
    0.89
    "},"
    0.69
     Jr
    0.69
    <|endoftext|>
    0.68
    Atl
    0.67
    ________________________________________________________________
    0.66
    Jr
    0.65
    ãĤ¿
    0.65
    âĵĺ
    0.65
    Redd
    0.64
    Activations Density 0.138%

    No Known Activations