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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. 3813
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    Explanations

    references to citations or credits in a text

    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
    pora
    -0.74
    oshenko
    -0.71
    ratulations
    -0.67
    inav
    -0.66
    olen
    -0.66
    tein
    -0.65
     installations
    -0.64
    wear
    -0.63
    antle
    -0.63
    esthetic
    -0.62
    POSITIVE LOGITS
    =]
    0.90
     footnote
    0.89
    ...]
    0.87
     omitted
    0.84
     quotes
    0.80
    }{
    0.78
    ]"
    0.77
    ],[
    0.76
    ])
    0.75
     citation
    0.74
    Activations Density 0.018%

    No Known Activations