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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. 1-RES-JB
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    Explanations

    proper nouns related to geographical locations

    oai_token-act-pair · gpt-3.5-turbo

    references to geographic locations, specifically 'Dund' and 'Lans'

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ocrine
    -0.80
    ularity
    -0.80
    iquid
    -0.77
    OSH
    -0.74
    otherapy
    -0.72
    ospace
    -0.71
    OLOGY
    -0.70
    ular
    -0.70
    cript
    -0.70
    phabet
    -0.68
    POSITIVE LOGITS
     Dund
    1.07
    inav
    0.90
    REAM
    0.79
    ee
    0.79
    iates
    0.76
    hesda
    0.74
     Glas
    0.72
    ereo
    0.70
    ees
    0.69
    ire
    0.68
    Activations Density 0.023%

    No Known Activations