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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. 14507
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    Explanations

    phrases related to physical actions like tearing open, slicing off, or knocking down

    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
    ���
    -0.76
     therap
    -0.68
    anwhile
    -0.68
    antry
    -0.64
    enegger
    -0.64
    cano
    -0.63
    cius
    -0.62
     psychiat
    -0.62
    enne
    -0.62
     Antar
    -0.62
    POSITIVE LOGITS
     tons
    0.82
     dissent
    0.72
     some
    0.72
     tonnes
    0.72
     Flavoring
    0.71
     roots
    0.70
     copies
    0.70
     excess
    0.69
     those
    0.69
     submissions
    0.66
    Activations Density 0.161%

    No Known Activations