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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. 14440
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    Explanations

    words related to positions, stances, and opinions on various topics

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to validation and legitimacy

    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
    erva
    -0.75
    aurus
    -0.73
    MQ
    -0.73
    culosis
    -0.70
    issance
    -0.65
    iage
    -0.63
    inia
    -0.63
     Quit
    -0.63
     Feeling
    -0.62
    roo
    -0.62
    POSITIVE LOGITS
     outwe
    0.89
     unanswered
    0.82
     exaggerated
    0.81
     intertwined
    0.76
    wolves
    0.74
     summarized
    0.74
     outweigh
    0.73
     amplified
    0.73
     attributed
    0.73
     dictated
    0.73
    Activations Density 0.466%

    No Known Activations