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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. 4-RES-JB
    11. 4593
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    Explanations

    terms related to encoding and coding, including terms like "encoding", "encode", "coding", and "coded"

    oai_token-act-pair · gpt-3.5-turbo

    terms and phrases related to data encoding and decoding processes

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

    No Comments

    Negative Logits
    alos
    -0.71
    alsh
    -0.70
    inness
    -0.69
    ivan
    -0.67
    zanne
    -0.67
    ortun
    -0.67
    ionage
    -0.66
    colored
    -0.66
    fman
    -0.66
    erva
    -0.65
    POSITIVE LOGITS
    oded
    1.17
    oding
    1.11
     encode
    0.93
    odes
    0.92
     encoded
    0.91
     encoding
    0.91
    ode
    0.89
     coded
    0.88
    oder
    0.83
    ãĥĥãĥī
    0.81
    Activations Density 0.013%

    No Known Activations