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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. 3-RES-JB
    11. 16683
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    Explanations

    keywords related to equipment operation and setup

    oai_token-act-pair · gpt-3.5-turbo

    terms related to various types of operational processes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    bitious
    -0.72
    cknowled
    -0.68
    reath
    -0.64
    attering
    -0.63
    ioxide
    -0.61
    ilan
    -0.59
     Pell
    -0.59
     Marketable
    -0.58
    yi
    -0.58
    storms
    -0.57
    POSITIVE LOGITS
     operation
    0.96
    eering
    0.86
    ally
    0.81
    eers
    0.77
    operation
    0.74
    uria
    0.72
    ality
    0.71
    ional
    0.70
     operations
    0.69
     manag
    0.68
    Activations Density 0.024%

    No Known Activations