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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. 1-RES-JB
    11. 23337
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    Explanations

    the word "greatly" followed by positive adjectives

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "greatly" and similar expressions of significant impact or importance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Tags
    -0.77
    onomy
    -0.74
     Notting
    -0.73
    ties
    -0.72
     Phant
    -0.68
    anmar
    -0.68
    smoking
    -0.67
    cair
    -0.67
    nar
    -0.66
     Chaser
    -0.66
    POSITIVE LOGITS
     greatly
    1.00
     benefited
    0.88
     appreciated
    0.82
     depends
    0.81
     exceeded
    0.81
     exceeds
    0.80
     reduces
    0.79
     appre
    0.78
     appreci
    0.77
     enhances
    0.75
    Activations Density 0.012%

    No Known Activations