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    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. 22706
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    Explanations

    phrases related to an organization named "Judicial Watch."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "Watch" in reference to organizations and their activities

    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
    istically
    -0.82
     fries
    -0.76
    ãĤª
    -0.74
    wcs
    -0.73
    istic
    -0.71
     toast
    -0.70
    jad
    -0.70
    ãĤ¨ãĥ«
    -0.69
     flavours
    -0.68
    taboola
    -0.68
    POSITIVE LOGITS
    dog
    1.29
    tower
    1.19
    dogs
    1.03
     Watch
    0.90
    atcher
    0.89
     Dogs
    0.75
    ashington
    0.75
     ank
    0.73
     Watching
    0.72
    points
    0.72
    Activations Density 0.026%

    No Known Activations