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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 17406
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    INDEX
    Explanations

    sentences related to negative societal issues or challenges

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to emotional and physical distress

    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
    ortium
    -0.74
    published
    -0.74
    ãĤ´ãĥ³
    -0.73
    REDACTED
    -0.73
    translation
    -0.72
    surprisingly
    -0.71
     Canaver
    -0.68
     Archive
    -0.67
     UPDATE
    -0.67
    è£ħ
    -0.67
    POSITIVE LOGITS
     â̦"
    1.36
    )."
    1.30
    .'"
    1.28
     ..."
    1.27
    ,'"
    1.22
    ',"
    1.20
    ."[
    1.20
    .""
    1.17
    .")
    1.16
    '."
    1.15
    Activations Density 1.362%

    No Known Activations