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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. 10-RES-JB
    11. 1055
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    Explanations

    proper nouns, especially related to locations, organizations, or individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to specific geographical locations and entities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    nown
    -0.70
     Arbor
    -0.67
    packages
    -0.65
    20439
    -0.64
    meet
    -0.61
     Airl
    -0.59
    Ont
    -0.58
    etter
    -0.58
    alore
    -0.58
    iless
    -0.58
    POSITIVE LOGITS
    itsu
    0.65
    inas
    0.64
    Short
    0.64
    avage
    0.61
    tto
    0.60
    Ń
    0.59
    ¯¯
    0.59
    §
    0.58
    Į
    0.58
    ima
    0.57
    Activations Density 0.141%

    No Known Activations