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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. 9-RES-JB
    11. 6972
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    Explanations

    entities such as names, organizations, and transferred amounts

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    anwhile
    -0.70
     undermin
    -0.63
    )."
    -0.62
     [*
    -0.60
    ierrez
    -0.60
    '."
    -0.58
    )).
    -0.58
     crush
    -0.58
     cryst
    -0.57
     anecd
    -0.57
    POSITIVE LOGITS
     âĢº
    0.76
     Belfast
    0.76
     âĢİ
    0.72
     Originally
    0.69
    ↵Âł
    0.69
    utterstock
    0.66
    îĢ
    0.63
     Posted
    0.59
    ¶
    0.59
    Phys
    0.59
    Activations Density 1.044%

    No Known Activations