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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. 10-RES-JB
    11. 962
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    INDEX
    Explanations

    names of people

    oai_token-act-pair · gpt-3.5-turbo

    vowel patterns in words

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eele
    -0.71
    milo
    -0.70
    offer
    -0.69
    CRIP
    -0.66
    iaries
    -0.64
     coord
    -0.63
    ometimes
    -0.62
    ocument
    -0.62
    ATTLE
    -0.61
     srfAttach
    -0.60
    POSITIVE LOGITS
    ghan
    1.10
    hei
    0.94
     Nguyen
    0.92
    ften
    0.88
     Wei
    0.88
    pless
    0.88
    ÃŁ
    0.87
    hee
    0.83
    kees
    0.82
     Mei
    0.82
    Activations Density 0.103%

    No Known Activations