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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. 2-RES-JB
    11. 24192
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    Explanations

    terms related to loading or processing data or information

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to computational load or performance metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

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    Negative Logits
    perty
    -0.71
    SHIP
    -0.70
    vous
    -0.67
    icho
    -0.63
    Lind
    -0.63
    berra
    -0.63
    cussion
    -0.62
    chedel
    -0.62
    kos
    -0.62
    gary
    -0.60
    POSITIVE LOGITS
     load
    1.21
     loads
    1.19
    load
    1.01
    loads
    1.00
     Load
    0.97
    Load
    0.89
    iless
    0.85
    loading
    0.85
     loader
    0.84
    enger
    0.83
    Activations Density 0.008%

    No Known Activations