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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. 8403
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    references to information security, surveillance, and potential threats

    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
    soType
    -0.84
    actionDate
    -0.67
     sqor
    -0.66
     Earlier
    -0.65
     Stain
    -0.61
    feat
    -0.61
    izoph
    -0.60
    cellence
    -0.59
    ?????-
    -0.59
    ranging
    -0.58
    POSITIVE LOGITS
     chooses
    1.50
     receives
    1.49
     learns
    1.48
     decides
    1.43
     loses
    1.41
     assumes
    1.40
     knows
    1.38
     tends
    1.34
     realizes
    1.34
     must
    1.33
    Activations Density 0.361%

    No Known Activations