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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. 11-RES-JB
    11. 20811
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    Explanations

    descriptions of sightseeing and tourist activities at various locations

    oai_token-act-pair · gpt-3.5-turbo

    references to architectural and scenic experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    votes
    -0.80
    ħĭ
    -0.77
    ealous
    -0.77
    CLAIM
    -0.76
    Recommend
    -0.74
    Charges
    -0.74
    CPU
    -0.73
    oldown
    -0.71
    acket
    -0.70
    buster
    -0.70
    POSITIVE LOGITS
     landscapes
    1.45
     flora
    1.28
     landmarks
    1.25
     sights
    1.24
     scenery
    1.24
     majestic
    1.21
     beautiful
    1.17
     castles
    1.14
     treasures
    1.14
     lush
    1.14
    Activations Density 0.453%

    No Known Activations