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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. 9228
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    Explanations

    words related to compression or compacting

    oai_token-act-pair · gpt-3.5-turbo

    terms related to compression and compressed materials or substances

    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
    mares
    -1.02
    ket
    -0.94
    guyen
    -0.84
    afia
    -0.84
    guard
    -0.77
    lia
    -0.77
    folk
    -0.76
    verty
    -0.76
    guards
    -0.75
    kie
    -0.72
    POSITIVE LOGITS
     compress
    1.04
     compression
    0.99
     compressed
    0.99
     decomp
    0.96
     compressor
    0.80
     ventilation
    0.78
    rates
    0.78
    ressed
    0.76
    ressing
    0.76
    rate
    0.74
    Activations Density 0.017%

    No Known Activations