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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. 3-RES-JB
    11. 3495
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    Explanations

    metal-related objects or concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to various types and forms of metal

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Polk
    -0.79
    HCR
    -0.70
     Fas
    -0.70
    ========
    -0.67
     Nurs
    -0.66
     Vector
    -0.65
     Vu
    -0.64
    zu
    -0.64
     SAP
    -0.64
    zee
    -0.63
    POSITIVE LOGITS
    anguage
    1.56
     detectors
    1.20
     oxide
    1.16
    works
    1.09
     detector
    1.03
     metal
    0.98
    bending
    0.97
    workers
    0.91
     metals
    0.89
    core
    0.88
    Activations Density 0.014%

    No Known Activations