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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. 1-RES-JB
    11. 448
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    Explanations

    references to things being easy or simple

    oai_token-act-pair · gpt-3.5-turbo

    references to ease and simplicity

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ĸļ
    -0.81
    arians
    -0.79
    ickr
    -0.76
    о
    -0.70
    ued
    -0.69
    âĹ¼
    -0.68
    uing
    -0.66
    oresc
    -0.66
     anx
    -0.66
    ivities
    -0.65
    POSITIVE LOGITS
     Easy
    0.89
    Easy
    0.88
     Difficulty
    0.84
     Simple
    0.81
    Simple
    0.78
     Modes
    0.77
    simple
    0.75
     nutshell
    0.75
     Steps
    0.74
     Connection
    0.73
    Activations Density 0.014%

    No Known Activations