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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. 6-RES-JB
    6. 19962
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    Explanations

    words related to statements or quotations

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express opinions or describe conditions about a subject

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    luaj
    -0.92
    edIn
    -0.71
    Versions
    -0.66
    aired
    -0.65
    bies
    -0.63
    arthed
    -0.62
    lat
    -0.62
    %%
    -0.61
    andise
    -0.61
    resp
    -0.61
    POSITIVE LOGITS
     definitely
    1.08
     gonna
    0.97
     gotta
    0.94
     bitters
    0.94
     basically
    0.90
     certainly
    0.89
     unbelievable
    0.88
     frustrating
    0.84
     honestly
    0.84
     obviously
    0.83
    Activations Density 0.281%

    No Known Activations