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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. 15823
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    Explanations

    elements related to physical or geographical locations

    oai_token-act-pair · gpt-3.5-turbo

    references to different types of locations or structures

    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
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    Negative Logits
    quickShipAvailable
    -0.70
    ãĥ¥
    -0.69
    Ļ½
    -0.68
    OIL
    -0.67
    vd
    -0.67
    ĪĴ
    -0.66
    »Ĵ
    -0.65
    µ
    -0.65
    rez
    -0.65
     Benz
    -0.65
    POSITIVE LOGITS
     experien
    0.92
     phenomenon
    0.84
     repertoire
    0.75
     etiquette
    0.73
     FAQ
    0.70
     trope
    0.70
     lifestyle
    0.70
     syndrome
    0.70
     rite
    0.69
     moniker
    0.69
    Activations Density 0.512%

    No Known Activations