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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. 11-RES-JB
    11. 24053
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    Explanations

    mentions of various types of vegetation, especially grass

    oai_token-act-pair · gpt-3.5-turbo

    references to grass and related vegetation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Nept
    -0.81
    icts
    -0.80
     Bucc
    -0.71
    ufact
    -0.67
     Titanic
    -0.67
     Carth
    -0.65
     Ports
    -0.65
     Somers
    -0.64
    ISM
    -0.64
    ̶
    -0.64
    POSITIVE LOGITS
    roots
    1.55
    ho
    1.37
    lands
    1.28
    wood
    1.12
    root
    1.11
    land
    1.07
    grass
    1.06
    nut
    1.02
    leaf
    1.01
     roots
    1.00
    Activations Density 0.051%

    No Known Activations