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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. 3-RES-JB
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    Explanations

    terms related to insulin and glucose levels

    oai_token-act-pair · gpt-3.5-turbo

    terms related to insulin and blood sugar regulation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    "]=>
    -0.83
    Ń·
    -0.82
    Else
    -0.80
    ership
    -0.77
     Sixth
    -0.75
     Hunting
    -0.73
    %%%%
    -0.73
     Cosponsors
    -0.72
    HCR
    -0.69
     Puzzles
    -0.69
    POSITIVE LOGITS
     insulin
    1.11
     resistance
    0.86
     secretion
    0.83
     metabolism
    0.79
     susceptibility
    0.79
     leptin
    0.79
    oglobin
    0.77
     glucose
    0.77
    imum
    0.77
     gluc
    0.77
    Activations Density 0.005%

    No Known Activations