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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. 7-RES-JB
    11. 7215
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    Explanations

    words related to specific types of trees and fruits

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    IGN
    -0.85
    anooga
    -0.84
    ospace
    -0.78
    Offline
    -0.78
    eatures
    -0.78
    PDATE
    -0.77
    ENG
    -0.75
    ¿
    -0.74
    Oper
    -0.74
     Expend
    -0.74
    POSITIVE LOGITS
    seed
    1.12
     berries
    1.11
     flakes
    1.07
     seeds
    1.06
     bushes
    1.03
     syrup
    1.00
     leaf
    1.00
     fungus
    0.99
     juice
    0.99
    bean
    0.98
    Activations Density 0.250%

    No Known Activations