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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. 4-RES-JB
    11. 24262
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    Explanations

    words related to specific locations, possibly with emphasis on names or place-specific terms

    oai_token-act-pair · gpt-3.5-turbo

    references to places or entities, particularly those related to Brussels and its urban features

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

    No Comments

    Negative Logits
    ĸļ
    -0.88
    ãĥīãĥ©ãĤ´ãĥ³
    -0.73
    DIR
    -0.70
     partName
    -0.69
     conclud
    -0.68
     Uriel
    -0.68
    ©¶æ
    -0.67
     Shutterstock
    -0.67
    è¦ļéĨĴ
    -0.65
     Archdemon
    -0.65
    POSITIVE LOGITS
    acket
    0.90
    itte
    0.88
    hemy
    0.84
    raud
    0.80
    gger
    0.79
    cker
    0.78
    wine
    0.77
    onte
    0.76
    utz
    0.75
    olini
    0.75
    Activations Density 0.081%

    No Known Activations