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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 14335
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    nuts
    -0.85
    turn
    -0.73
    abouts
    -0.72
    nut
    -0.72
    reek
    -0.70
    çĦ
    -0.69
    umper
    -0.69
    stones
    -0.68
    holders
    -0.65
    uts
    -0.65
    POSITIVE LOGITS
     simulate
    0.96
     simulations
    0.93
     simulation
    0.90
     simulated
    0.87
     Simulation
    0.84
    ãĤ§
    0.80
    eer
    0.79
    eers
    0.79
    ulators
    0.78
    iliar
    0.73
    Activations Density 0.019%

    No Known Activations