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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. 0-RES-JB
    11. 1956
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    Explanations

    phrases related to chemical reactions and processes involving the word "prop"

    oai_token-act-pair · gpt-3.5-turbo

    references to propylene and its derivatives

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    isure
    -0.68
     corps
    -0.67
     overwhelmed
    -0.65
     Café
    -0.65
     surrendered
    -0.64
     Toll
    -0.64
    inki
    -0.63
     cuff
    -0.62
     curves
    -0.62
     Dunham
    -0.61
    POSITIVE LOGITS
    prop
    4.23
    Prop
    3.11
     Prop
    2.15
     prop
    1.86
     Proposition
    1.22
     propagation
    1.18
     propag
    1.15
     propagate
    1.15
     prophes
    1.10
    pro
    0.97
    Activations Density 0.018%

    No Known Activations