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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. 2376
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    Explanations

    phrases related to warnings or cautionary advice

    oai_token-act-pair · gpt-3.5-turbo

    conditional phrases or warnings related to common 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
    itud
    -0.72
    SPONSORED
    -0.70
    avorite
    -0.66
     morphed
    -0.65
     fict
    -0.63
     accomp
    -0.63
     indistinguishable
    -0.63
    sonian
    -0.63
     analogous
    -0.62
    worth
    -0.61
    POSITIVE LOGITS
     Otherwise
    0.87
     otherwise
    0.77
     THERE
    0.77
     THEY
    0.75
    inventoryQuantity
    0.72
     lest
    0.72
    WARNING
    0.72
    amins
    0.71
     Especially
    0.69
    Otherwise
    0.67
    Activations Density 0.382%

    No Known Activations