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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. 11-RES-JB
    11. 6592
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    action words related to investigation, detection, and identification

    oai_token-act-pair · gpt-3.5-turbo

    terms related to detection and investigation processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.76
    osate
    -0.71
    doing
    -0.71
    DragonMagazine
    -0.70
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.70
    luaj
    -0.69
    é¾įå
    -0.69
    lvl
    -0.69
    amera
    -0.68
    è£ħ
    -0.68
    POSITIVE LOGITS
     and
    0.88
     disasters
    0.86
     incoming
    0.85
     unwanted
    0.82
     anomalies
    0.82
     emergencies
    0.79
     miscar
    0.79
     complex
    0.79
     crises
    0.78
     patterns
    0.77
    Activations Density 0.393%

    No Known Activations