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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. 6-RES-JB
    11. 9914
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    Explanations

    words related to negative consequences and issues

    oai_token-act-pair · gpt-3.5-turbo

    terms related to mills and their operations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     gobl
    -0.73
    puter
    -0.70
    enegger
    -0.68
     IEEE
    -0.66
    quel
    -0.65
    transform
    -0.63
    argo
    -0.62
    lest
    -0.62
    arb
    -0.60
    linux
    -0.60
    POSITIVE LOGITS
    iard
    0.98
    sburg
    0.92
    espie
    0.87
    bury
    0.79
    ennial
    0.74
    imentary
    0.74
    avascript
    0.72
    waukee
    0.72
    enthal
    0.71
    uminati
    0.71
    Activations Density 0.030%

    No Known Activations