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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. 6-RES-JB
    11. 16939
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    Explanations

    references to materials such as metal

    oai_token-act-pair · gpt-3.5-turbo

    references to metal materials and objects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    zee
    -0.74
     FTA
    -0.65
     Vector
    -0.65
     Polk
    -0.65
    ========
    -0.64
    ctors
    -0.64
    later
    -0.64
    HCR
    -0.63
    lus
    -0.63
     Lauder
    -0.62
    POSITIVE LOGITS
    anguage
    1.58
     detectors
    1.27
     oxide
    1.17
    works
    1.11
     detector
    1.06
    bending
    0.96
    working
    0.94
    ica
    0.90
    mith
    0.89
    workers
    0.89
    Activations Density 0.018%

    No Known Activations