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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. 9-RES-JB
    11. 4196
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    Explanations

    references to a specific concept or idea in an academic or technical context

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Finish
    -0.63
     Dying
    -0.61
     Toast
    -0.59
     Gifts
    -0.58
     Codec
    -0.56
    Exit
    -0.55
     Deaths
    -0.55
    transfer
    -0.55
    76561
    -0.54
     Cowboy
    -0.54
    POSITIVE LOGITS
     beh
    1.26
     seems
    1.14
    unes
    1.08
    alian
    1.01
     appears
    1.01
     boils
    0.98
    iner
    0.96
     transpired
    0.96
     begs
    0.94
     emerges
    0.93
    Activations Density 0.287%

    No Known Activations