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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. 1630
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    Explanations

    statements that describe negative trends or worsening situations

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing deterioration or decline in conditions or situations

    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
    ools
    -0.71
    ioned
    -0.68
    ij士
    -0.67
    OPLE
    -0.66
    ¬¼
    -0.65
    inance
    -0.63
    encing
    -0.61
    efe
    -0.60
    onement
    -0.60
    edin
    -0.58
    POSITIVE LOGITS
     progressively
    0.96
     veter
    0.84
     exponentially
    0.78
     steadily
    0.77
    Winged
    0.76
     gradually
    0.71
     increasingly
    0.67
     till
    0.66
     acquainted
    0.64
     than
    0.64
    Activations Density 0.104%

    No Known Activations