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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. 8993
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    Explanations

    proper nouns related to people or locations

    oai_token-act-pair · gpt-3.5-turbo

    references to prominent figures or "luminaries" in various contexts

    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
    RAFT
    -0.78
    ãģ¦
    -0.75
    STATE
    -0.67
    ÙIJ
    -0.67
     FANTASY
    -0.66
    в
    -0.66
    LEASE
    -0.64
    л
    -0.64
    ESH
    -0.63
    REDACTED
    -0.60
    POSITIVE LOGITS
     Lum
    1.17
    inary
    1.10
    osity
    1.05
    ifer
    0.92
    umen
    0.88
     gobl
    0.87
    mers
    0.83
    awei
    0.82
    undai
    0.81
    yssey
    0.81
    Activations Density 0.007%

    No Known Activations