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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. 13989
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    Explanations

    phrases related to specific names and keywords in the text

    oai_token-act-pair · gpt-3.5-turbo

    names of public figures and their associations

    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
     Sno
    -0.57
    Raven
    -0.55
     Regist
    -0.53
    WHERE
    -0.51
     DIRECT
    -0.51
     IPM
    -0.50
     Streaming
    -0.50
     partic
    -0.49
     Edited
    -0.49
     horizont
    -0.49
    POSITIVE LOGITS
    ghazi
    0.66
    unia
    0.57
    arf
    0.55
    veyard
    0.55
    ignt
    0.51
    forcement
    0.51
    partisan
    0.51
    naire
    0.50
    orbit
    0.50
    oaded
    0.49
    Activations Density 0.609%

    No Known Activations