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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. 10-RES-JB
    11. 8168
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    Explanations

    words and phrases related to outdoor activities and hobbies

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to hobbies and physical activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     UID
    -0.91
     FISA
    -0.81
     Dillon
    -0.73
     Qiao
    -0.71
     firewall
    -0.70
    ansky
    -0.69
    ©¶æ¥µ
    -0.69
     Schiff
    -0.68
    ilver
    -0.66
    hawks
    -0.65
    POSITIVE LOGITS
     enjoyable
    1.32
     lifestyle
    1.26
     rite
    1.26
     leisure
    1.20
     recreational
    1.19
     addictive
    1.19
     hobbies
    1.18
     relaxing
    1.17
     pleasures
    1.16
     enjoyment
    1.14
    Activations Density 0.430%

    No Known Activations