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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. 3-RES-JB
    11. 17811
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    Explanations

    proper nouns related to a specific location (specifically "Norwich" and "Wichita")

    oai_token-act-pair · gpt-3.5-turbo

    references to specific locations, particularly towns or cities

    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
    runner
    -0.71
    externalActionCode
    -0.70
    audi
    -0.64
    prints
    -0.63
    SPONSORED
    -0.62
     guid
    -0.62
    activated
    -0.59
    omorphic
    -0.58
    cycl
    -0.58
    creation
    -0.58
    POSITIVE LOGITS
    wich
    1.79
    mere
    1.00
    nesday
    0.93
    atche
    0.87
     Harbor
    0.87
    igan
    0.86
    combe
    0.85
     Albion
    0.85
    uggets
    0.83
    cheon
    0.83
    Activations Density 0.006%

    No Known Activations