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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. 3192
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    Explanations

    phrases related to tourist locations and attractions

    oai_token-act-pair · gpt-3.5-turbo

    references to tourists and tourist-related activities or attractions

    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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    No Comments

    Negative Logits
    lain
    -0.82
    ©¶æ
    -0.78
    arity
    -0.72
    stood
    -0.70
    esson
    -0.69
    lished
    -0.66
     Anarchy
    -0.66
    rity
    -0.66
    rator
    -0.65
    rated
    -0.63
    POSITIVE LOGITS
     attractions
    1.20
     destinations
    1.00
     attraction
    1.00
     arrivals
    0.86
    odge
    0.82
    seeing
    0.81
    Tour
    0.79
     visiting
    0.76
     resorts
    0.76
     tours
    0.76
    Activations Density 0.052%

    No Known Activations