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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 22184
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    Explanations

    words related to orders, commands, or instructions

    oai_token-act-pair · gpt-3.5-turbo

    words related to ordination or order, particularly in a religious context

    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
    SEA
    -0.78
    ãĥĨãĤ£
    -0.73
    Shock
    -0.70
    pmwiki
    -0.69
    GROUND
    -0.66
    hyde
    -0.66
    STEM
    -0.64
    Madison
    -0.64
    Wa
    -0.61
    çīĪ
    -0.61
    POSITIVE LOGITS
    nance
    1.57
    inarily
    1.46
    inary
    1.33
    inance
    1.29
    inent
    1.23
    inances
    1.23
    ination
    1.16
    inal
    1.14
    inate
    1.13
    inated
    1.08
    Activations Density 0.024%

    No Known Activations