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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. 10-RES-JB
    11. 8482
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    Explanations

    likelihoods or probabilities of events occurring

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     lyrics
    -0.75
    union
    -0.68
     english
    -0.66
     lang
    -0.64
    wordpress
    -0.64
    reads
    -0.61
    Arch
    -0.61
     reconc
    -0.60
    elsen
    -0.60
     ado
    -0.59
    POSITIVE LOGITS
     slim
    1.13
     remote
    0.92
     nil
    0.92
     limitless
    0.91
     astron
    0.84
     dim
    0.83
     bleak
    0.83
     dashed
    0.81
    finder
    0.79
    existent
    0.79
    Activations Density 0.177%

    No Known Activations