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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. 4343
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    Explanations

    phrases related to evaluating the quality or importance of something

    oai_token-act-pair · gpt-3.5-turbo

    phrases discussing the merits or values of various subjects

    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
    arta
    -0.83
     istg
    -0.81
    dayName
    -0.77
    swick
    -0.77
    externalActionCode
    -0.73
    BUS
    -0.70
    nis
    -0.69
    phabet
    -0.69
    byte
    -0.69
    dit
    -0.69
    POSITIVE LOGITS
     these
    0.82
     unborn
    0.70
     incumb
    0.70
     this
    0.70
     humankind
    0.70
     mankind
    0.69
     THESE
    0.68
     teamwork
    0.67
     preserving
    0.67
     UFOs
    0.66
    Activations Density 0.149%

    No Known Activations