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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. 9-RES-JB
    11. 24040
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    Explanations

    positive and negative characteristics or attributes in text

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express varying degrees of moral judgment or goodness

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    quit
    -0.86
    moil
    -0.84
    okemon
    -0.81
    sbm
    -0.80
    tera
    -0.78
    UME
    -0.78
    anmar
    -0.78
     Skies
    -0.77
    multiple
    -0.75
    cair
    -0.73
    POSITIVE LOGITS
     worthwhile
    1.16
     trustworthy
    1.16
     prosperous
    1.08
     worthy
    1.07
     virtuous
    1.07
     honorable
    1.06
     decent
    1.06
     admirable
    1.04
     desirable
    1.04
     healthy
    1.04
    Activations Density 0.184%

    No Known Activations