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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. 16315
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    oai_token-act-pair · gpt-3.5-turbo

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    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
    DAY
    -0.78
     Stain
    -0.76
    amaz
    -0.74
    vae
    -0.72
    ividual
    -0.71
    clud
    -0.68
    igans
    -0.68
    amination
    -0.67
    nai
    -0.65
    ergy
    -0.64
    POSITIVE LOGITS
    making
    1.14
     prescriptions
    1.09
     advisers
    1.06
     advisors
    1.05
     choices
    1.05
     objectives
    1.05
     decisions
    1.05
     stances
    1.02
     adviser
    0.98
     priorities
    0.97
    Activations Density 0.033%

    No Known Activations