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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. 7-RES-JB
    11. 18693
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    oai_token-act-pair · gpt-3.5-turbo

    statements reflecting personal experiences and reflections

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ivably
    -0.62
     elector
    -0.58
     Vehicles
    -0.57
    ranch
    -0.57
     Supporters
    -0.56
     arsen
    -0.56
     Opposition
    -0.56
    equ
    -0.56
     Sources
    -0.56
     Experts
    -0.55
    POSITIVE LOGITS
     my
    0.97
     mornings
    0.93
     myself
    0.86
     loneliness
    0.85
     evenings
    0.80
     haha
    0.79
    cember
    0.76
     friendships
    0.76
     I
    0.74
     girlfriends
    0.73
    Activations Density 1.299%

    No Known Activations