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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. 0-RES-JB
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    Explanations

    mentions of different types of experiences

    oai_token-act-pair · gpt-3.5-turbo

    mentions of "experience" and possibly related contexts where it is highlighted or emphasized

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     proxies
    -0.89
     proxy
    -0.79
     iss
    -0.76
    omsday
    -0.73
     circulation
    -0.72
     soup
    -0.69
     rotor
    -0.69
     grain
    -0.69
     pronounce
    -0.68
     plotting
    -0.66
    POSITIVE LOGITS
     Experience
    3.06
    Experience
    1.86
    ikk
    1.19
     Exper
    1.12
     Integrity
    1.03
     Skills
    0.92
    Dri
    0.90
     Poss
    0.89
    Enhanced
    0.87
     Bou
    0.87
    Activations Density 0.032%

    No Known Activations