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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. 4-RES-JB
    11. 13378
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    INDEX
    Explanations

    phrases related to frustration and annoyance

    oai_token-act-pair · gpt-3.5-turbo

    prepositions and phrases indicating relationships or agency

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

    No Comments

    Negative Logits
    marine
    -0.81
    cium
    -0.74
    iatrics
    -0.74
    onto
    -0.70
    ont
    -0.70
    ecycle
    -0.69
    lon
    -0.68
    etary
    -0.68
    yip
    -0.68
    earchers
    -0.67
    POSITIVE LOGITS
     Provided
    0.78
     Influ
    0.77
     Ded
    0.73
    ortunately
    0.68
     Econom
    0.66
     Scenes
    0.66
     Transparency
    0.64
     Sketch
    0.63
     airs
    0.62
     Kore
    0.61
    Activations Density 0.439%

    No Known Activations