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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. 0-RES-JB
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    Explanations

    the presence of words related to evaluating or assessing something

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "judging" and related forms, focusing on evaluations or assessments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    payer
    -0.67
    EMS
    -0.66
     Backup
    -0.66
    forts
    -0.62
    oms
    -0.61
    KC
    -0.59
    erman
    -0.57
    ilk
    -0.57
    shift
    -0.57
    atha
    -0.56
    POSITIVE LOGITS
     judging
    3.89
     Judging
    2.54
     judge
    1.64
     judged
    1.62
     judges
    1.57
    Jud
    1.45
    jud
    1.39
     Judges
    1.29
     judgement
    1.27
     interpreting
    1.24
    Activations Density 0.008%

    No Known Activations