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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. 12-RES-JB
    11. 4506
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    Explanations

    phrases indicating satisfaction and praise

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    phrases indicating positive sentiments or qualities about individuals, experiences, or situations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
    pmwiki
    -0.90
    DragonMagazine
    -0.90
    ËĪ
    -0.87
    imeters
    -0.86
    resp
    -0.82
    cair
    -0.78
    errors
    -0.78
    english
    -0.77
    ãĥ³ãĤ¸
    -0.75
    è¦ļéĨĴ
    -0.75
    POSITIVE LOGITS
     bitters
    1.32
     exciting
    1.29
     grat
    1.24
     fantastic
    1.23
     testament
    1.14
     phenomenal
    1.13
     wonderful
    1.13
     thrilling
    1.13
     terrific
    1.12
     hum
    1.10
    Activations Density 0.243%

    No Known Activations