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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. 7-RES-JB
    11. 18766
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    Explanations

    instances where judging or assessment of something or someone is being discussed

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with evaluation and judgment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ospons
    -0.82
    iliar
    -0.82
    ulic
    -0.79
    adra
    -0.77
    oing
    -0.72
    uld
    -0.71
    vasive
    -0.70
    ols
    -0.70
    rolet
    -0.69
    ieties
    -0.68
    POSITIVE LOGITS
     judging
    0.86
     harshly
    0.85
     judgment
    0.81
     judgement
    0.80
    jud
    0.77
     judgments
    0.77
    phas
    0.74
     Advocate
    0.71
     whether
    0.70
     judged
    0.69
    Activations Density 0.027%

    No Known Activations