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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. 8-RES-JB
    11. 12364
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    Explanations

    adjectives related to quality or proficiency

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to quality or performance assessments

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    onto
    -0.71
    Vert
    -0.67
    CHAT
    -0.67
    cs
    -0.66
    ategory
    -0.65
    pora
    -0.64
    hor
    -0.63
    chio
    -0.62
     Berm
    -0.61
    thur
    -0.61
    POSITIVE LOGITS
     behaved
    0.90
     sounding
    0.88
     luck
    0.82
    luck
    0.79
     smelling
    0.78
     quality
    0.77
     job
    0.77
     tasting
    0.77
    iberal
    0.74
     performer
    0.72
    Activations Density 0.131%

    No Known Activations