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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. 3674
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    INDEX
    Explanations

    names of places or locations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of locations, particularly cities and towns

    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
    ORGE
    -0.83
    uve
    -0.73
    hetical
    -0.73
    ugu
    -0.68
    ebus
    -0.68
    ULAR
    -0.62
    acter
    -0.62
    ressive
    -0.62
    eways
    -0.62
     ancest
    -0.62
    POSITIVE LOGITS
     Knox
    1.31
    ville
    1.25
    burgh
    0.91
    creen
    0.78
    jer
    0.78
    stown
    0.78
    lyn
    0.77
    combe
    0.77
     Polk
    0.77
     Speedway
    0.73
    Activations Density 0.006%

    No Known Activations