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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. 6722
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    Explanations

    phrases related to negative situations or conditions

    oai_token-act-pair · gpt-3.5-turbo

    words associated with negative conditions or issues, particularly those that imply an abundance of problems

    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
    elsen
    -0.69
    ift
    -0.69
     Warriors
    -0.69
    isting
    -0.66
    isations
    -0.64
    Balt
    -0.64
    ifted
    -0.63
    enei
    -0.63
    itars
    -0.62
    strate
    -0.62
    POSITIVE LOGITS
    entimes
    0.94
     rife
    0.82
    geries
    0.71
    arella
    0.70
     ambig
    0.67
    odies
    0.64
    udicrous
    0.64
     littered
    0.64
    vre
    0.64
    gling
    0.63
    Activations Density 0.033%

    No Known Activations