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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. 3836
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    Explanations

    phrases related to specific occurrences or instances

    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
    dale
    -0.73
    uminati
    -0.72
    inki
    -0.68
    arts
    -0.67
    depend
    -0.66
    iculture
    -0.66
    ement
    -0.64
    ãģį
    -0.62
    rake
    -0.61
    below
    -0.61
    POSITIVE LOGITS
     anyone
    0.78
     someone
    0.77
     they
    0.74
     since
    0.73
     foreigners
    0.73
    eve
    0.73
     that
    0.71
    ndra
    0.70
     she
    0.68
     we
    0.67
    Activations Density 0.036%

    No Known Activations