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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. 1018
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    Explanations

    references to different types of vegetation, particularly grass

    oai_token-act-pair · gpt-3.5-turbo

    references to grass and related green plant material

    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
    icts
    -0.79
     Nept
    -0.71
     Somers
    -0.71
    cffffcc
    -0.71
     Bucc
    -0.69
    ISM
    -0.68
     Ports
    -0.66
     Psychiatry
    -0.66
    utral
    -0.64
     psychiatry
    -0.64
    POSITIVE LOGITS
    roots
    1.56
    ho
    1.32
    lands
    1.24
    root
    1.11
    flower
    1.04
    fed
    1.01
    spring
    1.00
    wood
    1.00
    land
    0.99
    grass
    0.99
    Activations Density 0.032%

    No Known Activations