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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. 5089
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    Explanations

    phrases related to taking action or making decisions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "the."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    ambo
    -0.81
    ndra
    -0.76
    Animation
    -0.74
    eller
    -0.73
    Grab
    -0.71
    tions
    -0.70
    ells
    -0.69
    aza
    -0.67
    tion
    -0.67
    gb
    -0.66
    POSITIVE LOGITS
     brunt
    1.09
     same
    0.92
     plunge
    0.92
     utmost
    0.91
     initiative
    0.91
     blame
    0.89
     whole
    0.87
     reins
    0.85
     simplest
    0.84
     entire
    0.83
    Activations Density 0.061%

    No Known Activations