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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. 0-RES-JB
    11. 2163
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    Explanations

    specific structured patterns indicating data or information about items or descriptions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific items and descriptions related to entities or subjects in a structured format

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     bios
    -0.75
     RIP
    -0.74
     Rai
    -0.72
     Polaris
    -0.72
     watershed
    -0.68
     runoff
    -0.68
    usha
    -0.67
     apex
    -0.67
     debates
    -0.67
     mont
    -0.67
    POSITIVE LOGITS
    Item
    2.83
     Item
    1.89
    item
    1.81
    Ù
    1.72
    Ùİ
    1.61
    Description
    1.58
    ÙIJ
    1.43
    Items
    1.29
    ÙĴ
    1.21
     Items
    1.15
    Activations Density 0.032%

    No Known Activations