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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. 8-RES-JB
    11. 11517
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    Explanations

    instructions or steps in a recipe

    oai_token-act-pair · gpt-3.5-turbo

    cooking or food preparation instructions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arcity
    -0.79
    gencies
    -0.75
    ãģ®å®
    -0.73
     listeners
    -0.73
    Pause
    -0.72
    Reviewer
    -0.70
     privilege
    -0.69
     Anthem
    -0.68
    itters
    -0.67
     veto
    -0.67
    POSITIVE LOGITS
     shapes
    1.11
     halves
    1.04
     horizontally
    1.02
     shape
    1.01
     dough
    0.98
     paste
    0.97
     diameter
    0.94
     triangular
    0.93
     rectangular
    0.93
     knots
    0.93
    Activations Density 0.354%

    No Known Activations