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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
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    Explanations

    references to Singapore

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word 'Singapore' and its variants

    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
    ãĥł
    -0.77
    ocaly
    -0.76
    ulner
    -0.71
    20439
    -0.70
    apter
    -0.70
    urate
    -0.67
    merce
    -0.66
     morbid
    -0.65
    uminati
    -0.65
     Beir
    -0.63
    POSITIVE LOGITS
    apore
    1.12
     Airlines
    1.06
     Lumpur
    0.99
    istani
    0.92
    ans
    0.84
    iang
    0.83
    an
    0.79
     Singapore
    0.77
     Harbor
    0.77
     Carbuncle
    0.75
    Activations Density 0.016%

    No Known Activations