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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. 6586
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    Explanations

    proper nouns related to governmental organizations or positions

    oai_token-act-pair · gpt-3.5-turbo

    references to legislative assemblies

    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
     nom
    -0.71
     thirst
    -0.70
     nar
    -0.70
    yt
    -0.67
     mete
    -0.67
    Roger
    -0.66
     leveled
    -0.65
     spotting
    -0.65
     fal
    -0.64
     waist
    -0.63
    POSITIVE LOGITS
     Assembly
    4.20
    Assembly
    3.17
     assembly
    2.77
    assembly
    2.22
     assemblies
    2.06
    sembly
    1.75
     Legislature
    1.50
    assemb
    1.34
     legislature
    1.28
     assemble
    1.22
    Activations Density 0.010%

    No Known Activations