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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. 1-RES-JB
    11. 7417
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    Explanations

    words related to negative outcomes or disastrous situations

    oai_token-act-pair · gpt-3.5-turbo

    references to doom and negative outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    Previous
    -0.72
    ASE
    -0.69
    KER
    -0.69
    atic
    -0.68
    artney
    -0.67
    tein
    -0.67
    zanne
    -0.67
     bases
    -0.66
    aneous
    -0.66
    SEA
    -0.66
    POSITIVE LOGITS
     doom
    1.56
     tremend
    0.93
    bolt
    0.91
     contag
    0.89
    icter
    0.79
    bringer
    0.79
    urous
    0.77
     Doom
    0.75
    stress
    0.74
     psychiat
    0.74
    Activations Density 0.006%

    No Known Activations