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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. 7486
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    Explanations

    mentions of different types of meat

    oai_token-act-pair · gpt-3.5-turbo

    references to meat and its consumption

    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
     Telecommunications
    -0.75
     Spac
    -0.64
     Morse
    -0.64
     Polaris
    -0.63
    ipolar
    -0.61
     Learned
    -0.61
     Fundamental
    -0.60
     Kard
    -0.60
    owered
    -0.59
     Bland
    -0.59
    POSITIVE LOGITS
    balls
    1.42
    lo
    1.07
    packing
    1.03
    heads
    1.02
    ball
    1.01
    meat
    1.00
     slic
    1.00
    pack
    0.97
    bone
    0.97
     pies
    0.96
    Activations Density 0.049%

    No Known Activations