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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
    11. 2191
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    INDEX
    Explanations

    city names

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific geographical locations

    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
    hart
    -0.93
    vana
    -0.88
    hari
    -0.75
    orst
    -0.74
    amins
    -0.72
    hair
    -0.72
    gg
    -0.70
    alf
    -0.69
    atar
    -0.69
    ogens
    -0.69
    POSITIVE LOGITS
     Wichita
    0.88
     skyline
    0.87
     Rochester
    0.82
     Cincinnati
    0.81
     Asheville
    0.78
     Niagara
    0.78
     mayoral
    0.77
     Wilmington
    0.77
     ordinance
    0.76
     Edison
    0.76
    Activations Density 0.016%

    No Known Activations