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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. 7-RES-JB
    11. 11351
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    Explanations

    expressions of admiration or appreciation towards various things

    oai_token-act-pair · gpt-3.5-turbo

    expressions of enthusiasm or admiration for various subjects, particularly in the form of "fan" statements

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eworks
    -0.79
     September
    -0.60
     midday
    -0.59
     October
    -0.59
     skeletons
    -0.59
     November
    -0.58
     deeds
    -0.58
     offices
    -0.58
     Benghazi
    -0.58
     exits
    -0.57
    POSITIVE LOGITS
    76561
    0.91
    atical
    0.90
    Favorite
    0.83
    etheless
    0.82
    keyes
    0.78
     avid
    0.71
     favourite
    0.70
     nonetheless
    0.70
    athe
    0.70
    cca
    0.69
    Activations Density 0.128%

    No Known Activations