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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. 9-RES-JB
    11. 23962
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    Explanations

    patterns or shapes mentioned in instructions or steps

    oai_token-act-pair · gpt-3.5-turbo

    instructions and details related to crafting or construction processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     moderators
    -0.75
    arious
    -0.75
     intoxication
    -0.73
     Jericho
    -0.72
     succumbed
    -0.70
     Reloaded
    -0.70
     nonetheless
    -0.70
     smuggled
    -0.68
     tainted
    -0.66
     immortality
    -0.66
    POSITIVE LOGITS
     circle
    0.96
    hex
    0.90
    Repeat
    0.87
    circle
    0.87
     triangle
    0.86
     perpendicular
    0.86
     diagonal
    0.86
     Width
    0.85
     sts
    0.84
     rotate
    0.84
    Activations Density 0.296%

    No Known Activations