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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 7995
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    Explanations

    proper names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    names, particularly surnames or last names

    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
     thinner
    -0.71
    lined
    -0.70
     differentiated
    -0.69
    bleacher
    -0.66
    nces
    -0.65
     cryst
    -0.64
    ccording
    -0.61
     Thumbnails
    -0.61
    oding
    -0.61
    ŃĶ
    -0.60
    POSITIVE LOGITS
    mann
    0.94
    utz
    0.93
    iev
    0.91
    enger
    0.89
    minster
    0.83
    ileaks
    0.81
    itsch
    0.79
    imoto
    0.77
    feld
    0.76
    nuts
    0.76
    Activations Density 0.015%

    No Known Activations