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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. 9243
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    Explanations

    words related to emotions or sentiments of varying intensity

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "mo," likely looking for references to emotions or mood-related speech

    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
    Interstitial
    -0.73
     ire
    -0.71
     Integrity
    -0.64
    ICLE
    -0.62
    rating
    -0.59
    stood
    -0.58
    AMS
    -0.58
     caution
    -0.58
     responsibility
    -0.57
     AAP
    -0.57
    POSITIVE LOGITS
    ovies
    0.96
    ogle
    0.94
    zilla
    0.91
    ose
    0.89
    aned
    0.89
    orthy
    0.87
    obil
    0.87
    edia
    0.86
    xon
    0.84
    asters
    0.84
    Activations Density 0.019%

    No Known Activations