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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. 5-RES-JB
    6. 17864
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    Explanations

    phrases related to reasons or causes

    oai_token-act-pair · gpt-3.5-turbo

    pronouns or references indicating possession and existence in statements or contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    wikipedia
    -0.82
    jri
    -0.70
    ption
    -0.69
    thood
    -0.68
    acs
    -0.66
    itudes
    -0.66
    Anne
    -0.66
    Ni
    -0.65
    ocation
    -0.64
    zac
    -0.63
    POSITIVE LOGITS
     lacked
    0.85
     lacks
    0.82
     lack
    0.80
     didn
    0.79
     cumbers
    0.78
     hadn
    0.76
     messed
    0.74
     weren
    0.71
     dared
    0.70
     knew
    0.70
    Activations Density 0.205%

    No Known Activations