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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. 2450
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    Explanations

    phrases expressing strong opinions or beliefs

    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
    urat
    -0.74
     recy
    -0.64
    atically
    -0.64
    isin
    -0.62
     activated
    -0.62
     wraps
    -0.60
    hig
    -0.60
    ohyd
    -0.59
    Attach
    -0.59
     cubic
    -0.58
    POSITIVE LOGITS
    Others
    1.25
     Others
    1.17
     ones
    1.00
     myself
    0.94
    those
    0.93
    many
    0.90
     Ones
    0.90
     whom
    0.87
     others
    0.86
    Those
    0.85
    Activations Density 0.881%

    No Known Activations