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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. 13793
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    Explanations

    verbs or phrases related to taking actions or making decisions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express taking actions to an extreme or significant degree

    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
    rice
    -0.77
    etta
    -0.69
    etheless
    -0.68
     waits
    -0.66
    "},"
    -0.65
    ustain
    -0.61
     Ahead
    -0.60
    erva
    -0.59
    locking
    -0.59
    lag
    -0.59
    POSITIVE LOGITS
     stride
    0.86
     seriously
    0.73
     Seriously
    0.70
    tsky
    0.67
    aukee
    0.65
    GET
    0.62
    æ©
    0.62
    JV
    0.61
    grim
    0.61
     tumble
    0.60
    Activations Density 0.143%

    No Known Activations