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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. 23397
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    INDEX
    Explanations

    dates in numeric format

    oai_token-act-pair · gpt-3.5-turbo

    historical dates and significant individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    icter
    -0.86
     forgetting
    -0.81
     interfering
    -0.69
     compromising
    -0.67
     worrying
    -0.63
    forcing
    -0.63
     mentioning
    -0.61
     withholding
    -0.61
     confirming
    -0.59
    essing
    -0.58
    POSITIVE LOGITS
     originated
    1.21
     represents
    1.18
     specializes
    1.17
     embodies
    1.16
     consists
    1.13
     comprises
    1.08
     refers
    1.07
     derives
    1.06
     combines
    1.06
     is
    1.04
    Activations Density 0.550%

    No Known Activations