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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. 12117
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    Explanations

    terms expressing a necessity or requirement for something

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a necessity or requirement

    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
    pole
    -0.78
    Ń·
    -0.71
    Runner
    -0.70
    ora
    -0.69
    lucent
    -0.68
    reddits
    -0.67
     Planes
    -0.66
     Hemp
    -0.63
    stars
    -0.62
     CLSID
    -0.62
    POSITIVE LOGITS
     manpower
    0.81
     caution
    0.81
     urgently
    0.80
     vigilance
    0.79
     safeguard
    0.78
     precaution
    0.77
     balance
    0.77
     hurry
    0.75
     manual
    0.73
     econom
    0.72
    Activations Density 0.067%

    No Known Activations