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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. 7018
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    Explanations

    specific instructions or indications in texts, such as directions, coding commands, or notifications for actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating assessment or discovery of information

    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
    eni
    -0.75
    geoning
    -0.73
     hindsight
    -0.72
    imar
    -0.71
     )]
    -0.71
    hon
    -0.71
     Goddard
    -0.67
    erity
    -0.65
    venture
    -0.65
    onement
    -0.65
    POSITIVE LOGITS
     contaminants
    0.82
     belongs
    0.76
     belong
    0.73
     abnormal
    0.73
     hots
    0.73
     contamin
    0.73
     corresponds
    0.72
     mism
    0.72
     incoming
    0.72
     vulnerabilities
    0.71
    Activations Density 0.415%

    No Known Activations