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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. 3-RES-JB
    11. 16998
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    Explanations

    references to future events or concepts

    oai_token-act-pair · gpt-3.5-turbo

    references to futures or futuristic concepts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
    è£ħ
    -0.86
     sclerosis
    -0.84
    apy
    -0.75
     waters
    -0.74
    pherd
    -0.69
     Peninsula
    -0.68
    whel
    -0.67
     administered
    -0.66
    gow
    -0.66
     thirsty
    -0.65
    POSITIVE LOGITS
    ures
    1.12
    urity
    1.07
    ility
    1.03
     Fut
    0.98
    rique
    0.91
    opia
    0.89
    selage
    0.88
    uristic
    0.88
    rell
    0.87
    urus
    0.82
    Activations Density 0.003%

    No Known Activations