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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. 2-RES-JB
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    phrases related to theoretical concepts

    oai_token-act-pair · gpt-3.5-turbo

    discussions centered around theoretical concepts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    upon
    -0.80
    uv
    -0.73
    rs
    -0.73
    trap
    -0.73
    adra
    -0.70
    cot
    -0.66
    grow
    -0.66
    lain
    -0.66
    azar
    -0.66
    guard
    -0.66
    POSITIVE LOGITS
     theoretical
    0.92
    istic
    0.84
     theoret
    0.83
     equival
    0.83
    ities
    0.81
     assumptions
    0.79
    ulty
    0.77
     readings
    0.76
    istically
    0.75
     feasibility
    0.75
    Activations Density 0.008%

    No Known Activations