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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. 3-RES-JB
    11. 17042
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    Explanations

    descriptions of flavors and scents, particularly focusing on elements like hints, subtle tones, and notes

    oai_token-act-pair · gpt-3.5-turbo

    sensory descriptions related to flavors and aromas

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    ticket
    -0.89
     Volunteer
    -0.86
    quest
    -0.79
    =-=-=-=-
    -0.76
    Tickets
    -0.75
    ãĥīãĥ©
    -0.74
     Volunteers
    -0.73
     Finance
    -0.72
     Ethics
    -0.72
     Ticket
    -0.72
    POSITIVE LOGITS
     texture
    1.20
     gradient
    1.16
     textures
    1.09
     shading
    1.09
     layers
    1.04
     pores
    1.03
     rounded
    1.01
     curv
    1.01
     opacity
    1.00
     accent
    1.00
    Activations Density 0.609%

    No Known Activations