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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 3-RES-JB
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    Explanations

    proper nouns related to geographical locations or landmarks ending in 'shire'

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific geographical locations, particularly counties and shires

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    onym
    -0.90
    bern
    -0.89
    gotten
    -0.78
    obos
    -0.78
    choes
    -0.77
    ¥µ
    -0.72
    ntil
    -0.71
    ËĪ
    -0.70
    acements
    -0.70
    NetMessage
    -0.69
    POSITIVE LOGITS
    shire
    1.28
    dale
    0.82
     Borough
    0.81
     Regiment
    0.81
     County
    0.80
    hire
    0.78
     Buckingham
    0.76
     Veterinary
    0.72
     Rhodes
    0.72
     Railway
    0.71
    Activations Density 0.011%

    No Known Activations