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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. 16238
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    Explanations

    semantic evaluations or rankings

    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
    icing
    -0.62
    idon
    -0.61
    ĪĴ
    -0.60
    ilation
    -0.60
    gom
    -0.60
     Sharing
    -0.59
    interrupted
    -0.59
    ¬¼
    -0.59
    osate
    -0.58
     flooded
    -0.58
    POSITIVE LOGITS
     accordingly
    1.51
     differently
    1.43
     appropriately
    1.18
     separately
    1.10
     harshly
    0.99
     correctly
    0.97
     individually
    0.93
     wisely
    0.89
     evenly
    0.88
     apart
    0.87
    Activations Density 0.471%

    No Known Activations