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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. 4990
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    Explanations

    single characters and abbreviations commonly used with numbers

    oai_token-act-pair · gpt-3.5-turbo

    words related to neurological terms and conditions

    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
    Not in Any Lists

    No Comments

    Negative Logits
    URE
    -0.77
    Multiple
    -0.75
     NEC
    -0.72
     Corruption
    -0.69
    URES
    -0.69
    Kent
    -0.69
     Traff
    -0.66
    WAYS
    -0.64
     AFP
    -0.64
     Sheep
    -0.64
    POSITIVE LOGITS
     ner
    1.31
    dy
    0.88
    pei
    0.84
    umber
    0.84
     goof
    0.83
     resil
    0.83
    uler
    0.83
    pping
    0.82
    uling
    0.81
     buffs
    0.79
    Activations Density 0.008%

    No Known Activations