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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. 7-RES-JB
    11. 13412
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    Explanations

    numbered lists or sequences

    oai_token-act-pair · gpt-3.5-turbo

    numerical values, particularly related to data or statistics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     credential
    -0.60
    acre
    -0.57
    76561
    -0.57
     convict
    -0.55
     unfl
    -0.54
     wrench
    -0.54
     descript
    -0.53
     imag
    -0.52
     env
    -0.50
     aroused
    -0.50
    POSITIVE LOGITS
    iard
    0.68
     Pharaoh
    0.65
     Lastly
    0.64
    aints
    0.64
    amins
    0.63
     Puzzles
    0.62
    eor
    0.58
     Conclusion
    0.57
    ulhu
    0.57
     targ
    0.57
    Activations Density 0.079%

    No Known Activations