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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. 17158
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    Explanations

    phrases related to efficiency and cost-saving measures

    oai_token-act-pair · gpt-3.5-turbo

    references to economic benefits and cost savings

    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
     Bastard
    -0.72
    ãĥ¯ãĥ³
    -0.70
    iannopoulos
    -0.67
     VICE
    -0.67
    Unknown
    -0.63
    Origin
    -0.60
    icipated
    -0.60
     Beir
    -0.60
     Failure
    -0.60
     barbar
    -0.59
    POSITIVE LOGITS
     smoother
    1.22
     improves
    1.20
     healthier
    1.17
     cleaner
    1.13
     safer
    1.12
     quicker
    1.09
     easier
    1.07
     reduces
    1.07
     improved
    1.06
     ease
    1.04
    Activations Density 0.900%

    No Known Activations