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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. 18314
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    Explanations

    phrases related to photography techniques and equipment

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to controlling processes and techniques in various contexts

    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
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    No Comments

    Negative Logits
    ĸļ
    -0.94
     Tradable
    -0.63
    emale
    -0.63
    assetsadobe
    -0.60
    afety
    -0.60
    deen
    -0.59
    lihood
    -0.59
     Canaver
    -0.58
    dayName
    -0.57
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.57
    POSITIVE LOGITS
    ~
    0.49
     abnormalities
    0.48
    ...
    0.46
     ...
    0.45
    ....
    0.45
     [[
    0.44
     cy
    0.44
    haus
    0.44
     fs
    0.44
    Laura
    0.43
    Activations Density 0.176%

    No Known Activations