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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. 9768
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    references to metal materials

    oai_token-act-pair · gpt-3.5-turbo

    references to metal materials and items

    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
    ========
    -0.69
    zee
    -0.68
    ULTS
    -0.67
     FTA
    -0.66
     Rowling
    -0.66
    HCR
    -0.65
     Nurs
    -0.64
     Meadows
    -0.63
    ctors
    -0.63
    lyn
    -0.62
    POSITIVE LOGITS
    anguage
    1.59
     detectors
    1.25
     oxide
    1.20
    works
    1.07
     detector
    1.06
    bending
    0.94
    working
    0.92
    heads
    0.91
    ica
    0.90
     detecting
    0.90
    Activations Density 0.017%

    No Known Activations