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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. 4757
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    Explanations

    food preparation instructions

    oai_token-act-pair · gpt-3.5-turbo

    instructions related to food preparation or cooking techniques

    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
     privilege
    -0.67
    ãģ®å®
    -0.66
    tv
    -0.66
    SEE
    -0.66
    bnb
    -0.66
    irens
    -0.65
     Spoiler
    -0.64
    enhagen
    -0.64
     Commentary
    -0.64
    eus
    -0.63
    POSITIVE LOGITS
     shapes
    1.25
     pieces
    1.24
     cubes
    1.24
     manageable
    1.18
     triangles
    1.13
     halves
    1.13
     chunks
    1.12
     rectangular
    1.08
     squares
    1.08
     thirds
    1.07
    Activations Density 0.128%

    No Known Activations