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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
    11. 23678
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    INDEX
    Explanations

    phrases related to negative situations or problems

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to societal burdens and injustices

    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
    NetMessage
    -0.49
    sbm
    -0.49
    isine
    -0.45
    Prof
    -0.42
    ategor
    -0.42
    ï¸ı
    -0.42
     fixme
    -0.41
    renheit
    -0.41
    dain
    -0.41
    ongyang
    -0.41
    POSITIVE LOGITS
    liest
    0.83
    iest
    0.79
    osphere
    0.76
     aisle
    0.68
     portion
    0.63
    icter
    0.62
    hest
    0.62
    ultimate
    0.58
     moniker
    0.56
     equivalent
    0.54
    Activations Density 2.543%

    No Known Activations