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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. 9-RES-JB
    11. 7076
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    Explanations

    locations or place names

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and place names, particularly those containing "wood."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ionic
    -0.89
    ional
    -0.85
    ificial
    -0.82
    Ò
    -0.80
    merga
    -0.79
    sheet
    -0.79
    ibal
    -0.78
    lightly
    -0.78
    igel
    -0.76
    zel
    -0.76
    POSITIVE LOGITS
     Heights
    1.27
     Manor
    1.21
     Farms
    1.20
     Village
    1.18
     Park
    1.18
     Lodge
    1.18
     Cemetery
    1.14
     Resort
    1.13
     Casino
    1.10
     Estate
    1.09
    Activations Density 0.205%

    No Known Activations