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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. 10-RES-JB
    11. 6060
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    Explanations

    words related to necessity or importance

    oai_token-act-pair · gpt-3.5-turbo

    references to the concept of necessity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gdala
    -0.86
    ĸļ
    -0.69
    ophon
    -0.69
    oute
    -0.67
    atta
    -0.67
    imore
    -0.66
    zees
    -0.66
    essor
    -0.66
    guyen
    -0.65
    âĸ¬âĸ¬
    -0.64
    POSITIVE LOGITS
     precaution
    0.91
     corrective
    0.83
    lessly
    0.82
     precautions
    0.81
     repairs
    0.76
     accompan
    0.75
     corrections
    0.75
     urgently
    0.73
     evils
    0.72
     adjunct
    0.72
    Activations Density 0.051%

    No Known Activations