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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. 4-RES-JB
    11. 14248
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    Explanations

    words related to consumption, specifically food and nutrition

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of 'intake' across various contexts

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

    No Comments

    Negative Logits
    iev
    -0.69
     Colon
    -0.66
     Coat
    -0.66
    HCR
    -0.63
    pton
    -0.62
     ITV
    -0.60
    hover
    -0.60
    Secondly
    -0.60
     Hipp
    -0.59
     Barn
    -0.59
    POSITIVE LOGITS
     manifold
    1.16
     intake
    1.01
     Intake
    1.01
    ãĥ¼ãĥĨãĤ£
    0.99
     intakes
    0.94
    ered
    0.85
    eteria
    0.83
    iture
    0.79
    erno
    0.78
    alogy
    0.78
    Activations Density 0.011%

    No Known Activations