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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. 20263
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    Explanations

    terms related to three-dimensional representations or illusions

    oai_token-act-pair · gpt-3.5-turbo

    terms related to dimensionality in spatial representations

    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
    INST
    -0.73
    ICA
    -0.70
    AV
    -0.69
    ALT
    -0.67
    UES
    -0.65
    raltar
    -0.64
    MU
    -0.64
    exec
    -0.64
    creen
    -0.62
    CHAT
    -0.61
    POSITIVE LOGITS
    imensional
    1.33
    dimensional
    1.15
     dimensional
    1.00
    ikuman
    0.92
    ĸļ
    0.91
    dimension
    0.85
     ILCS
    0.77
    ynamic
    0.76
    hyde
    0.76
     dimension
    0.75
    Activations Density 0.010%

    No Known Activations