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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. 11-RES-JB
    11. 3909
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    Explanations

    words related to negative or serious situations

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases that convey negative and concerning situations or conditions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     actionGroup
    -0.61
     Preferred
    -0.60
    ajo
    -0.59
     Ended
    -0.59
    ivated
    -0.58
    glomer
    -0.57
     enzyme
    -0.56
    NetMessage
    -0.56
    aceae
    -0.56
    ource
    -0.55
    POSITIVE LOGITS
    oire
    1.25
    dark
    1.04
     outlook
    1.01
    ly
    0.97
    acing
    0.96
     warnings
    0.95
    ace
    0.94
     prog
    0.91
    ingly
    0.91
    omic
    0.90
    Activations Density 0.107%

    No Known Activations