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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. 7192
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    Explanations

    phrases related to the epitome or exemplary essence of a concept or object

    oai_token-act-pair · gpt-3.5-turbo
    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
    interrupted
    -0.63
    Lago
    -0.61
    hari
    -0.61
    CDC
    -0.61
     diverted
    -0.61
    EEP
    -0.60
    peer
    -0.59
    ovych
    -0.59
     Worldwide
    -0.59
    pedia
    -0.58
    POSITIVE LOGITS
    hetical
    1.08
    hetically
    0.99
    helial
    0.95
    viation
    0.94
    istered
    0.91
    hesis
    0.84
     epit
    0.83
    het
    0.83
    hetic
    0.80
    ames
    0.80
    Activations Density 0.029%

    No Known Activations