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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. 4477
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    INDEX
    Explanations

    locations and tourist attractions

    oai_token-act-pair · gpt-3.5-turbo

    locations and accessibility related to attractions or amenities

    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
     Turing
    -0.89
     wrongful
    -0.83
     epigen
    -0.75
     Trayvon
    -0.74
     whistleblower
    -0.74
     implanted
    -0.74
    utics
    -0.72
    kernel
    -0.72
    rogram
    -0.72
    otent
    -0.71
    POSITIVE LOGITS
    Located
    1.10
     Located
    1.07
     scenic
    1.04
    owntown
    1.02
     inland
    1.00
     cafes
    0.98
     Restaur
    0.98
     amenities
    0.97
     tourist
    0.96
     hotels
    0.94
    Activations Density 0.991%

    No Known Activations