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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. 2386
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    Explanations

    mentions of specific individuals and physical locations, potentially related to a region or culture

    oai_token-act-pair · gpt-3.5-turbo

    mentions of names and words associated with volcanic activity and geographic locations

    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
    ndra
    -0.83
    nr
    -0.79
    ters
    -0.74
    books
    -0.73
    elf
    -0.73
    TERN
    -0.73
    bol
    -0.71
    matically
    -0.71
    nant
    -0.71
    bang
    -0.69
    POSITIVE LOGITS
    rison
    0.88
    imei
    0.77
    aretz
    0.77
    qua
    0.76
    illary
    0.75
    ulkan
    0.75
    pport
    0.74
    isson
    0.72
     Yosh
    0.71
     Tir
    0.70
    Activations Density 0.016%

    No Known Activations