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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. 7282
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    Explanations

    mentions of specific terms/phrases

    oai_token-act-pair · gpt-3.5-turbo
    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
    ivity
    -0.90
    gets
    -0.79
    feed
    -0.77
    lies
    -0.76
    some
    -0.76
    bread
    -0.76
    fully
    -0.75
    sheet
    -0.74
    words
    -0.74
    rooms
    -0.72
    POSITIVE LOGITS
    phrine
    0.90
     Centauri
    0.88
    pora
    0.84
    ption
    0.79
    edia
    0.72
    agate
    0.72
    irez
    0.71
    ilitary
    0.71
    ajor
    0.68
    etheus
    0.68
    Activations Density 0.043%

    No Known Activations