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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. 7-RES-JB
    11. 15700
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    Explanations

    keywords related to countries

    oai_token-act-pair · gpt-3.5-turbo

    mentions of a specific country and its context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    DERR
    -0.78
    catentry
    -0.77
    helle
    -0.74
    inventoryQuantity
    -0.74
     Velocity
    -0.72
    uggest
    -0.71
    ocry
    -0.70
    wered
    -0.69
    urations
    -0.69
    Berry
    -0.67
    POSITIVE LOGITS
    wide
    1.48
    men
    1.05
    oslov
    0.90
    side
    0.85
     annexed
    0.84
    ESE
    0.77
    maker
    0.75
     sovere
    0.74
     Airlines
    0.74
    's
    0.74
    Activations Density 0.059%

    No Known Activations