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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. 2-RES-JB
    6. 17989
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    Explanations

    words related to criticism or negative comments

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with derogatory or disparaging language

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ramid
    -0.81
    ħĭ
    -0.80
    RH
    -0.75
    hner
    -0.71
     GOODMAN
    -0.70
    */(
    -0.68
    HCR
    -0.67
    eanor
    -0.66
    ource
    -0.66
    metic
    -0.66
    POSITIVE LOGITS
     dispar
    1.00
    ately
    0.93
    agement
    0.91
    ously
    0.84
    aging
    0.79
     Vaugh
    0.78
    uously
    0.77
    ãĥ¥
    0.70
    ached
    0.70
     leveled
    0.70
    Activations Density 0.012%

    No Known Activations