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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. 6-RES-JB
    11. 18377
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    Explanations

    references to someone being a supporter or regular customer of a business or place

    oai_token-act-pair · gpt-3.5-turbo

    references to patrons and patronage in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    REE
    -0.77
    LOD
    -0.71
    esm
    -0.70
    grass
    -0.70
    DX
    -0.69
    binding
    -0.69
     Matter
    -0.68
    RN
    -0.68
    MO
    -0.67
    RAM
    -0.67
    POSITIVE LOGITS
    hetically
    0.98
     patron
    0.96
    isance
    0.92
     patrons
    0.91
     saint
    0.91
    iless
    0.83
     Patron
    0.77
    izing
    0.75
    ysis
    0.71
    anza
    0.70
    Activations Density 0.031%

    No Known Activations