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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. 3-RES-JB
    11. 23251
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    Explanations

    proper nouns and entities related to public figures and organizations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns, particularly names associated with people and brands

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ////////////////
    -0.80
    ////////
    -0.80
    ************
    -0.79
    ãĤ¦ãĤ¹
    -0.75
    rodu
    -0.71
    -|
    -0.71
    ////////////////////////////////
    -0.70
    Ú
    -0.70
    dk
    -0.69
    tsky
    -0.69
    POSITIVE LOGITS
    raviolet
    0.93
    inese
    0.79
    ailability
    0.72
     traged
    0.71
     puck
    0.71
     veter
    0.71
     nutrit
    0.70
    nexpected
    0.70
     mascul
    0.69
     Palestin
    0.68
    Activations Density 0.021%

    No Known Activations