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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. 12-RES-JB
    11. 2766
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    INDEX
    Explanations

    various names and titles

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    references to color and brand names, particularly related to clothing

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     camer
    -0.81
     listener
    -0.81
     answ
    -0.81
     announ
    -0.78
     motiv
    -0.78
     belie
    -0.77
     calcul
    -0.77
     communication
    -0.76
     persu
    -0.76
     literacy
    -0.75
    POSITIVE LOGITS
     Regular
    1.35
     Medium
    1.24
     Classic
    1.21
     Deluxe
    1.20
     Intermediate
    1.18
     Semi
    1.18
    Medium
    1.18
     Premium
    1.17
     Single
    1.17
     Heavy
    1.16
    Activations Density 0.271%

    No Known Activations