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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. 8-RES-JB
    11. 289
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    Explanations

    terms related to specific individuals (for example, "Mozart" or "Raskin")

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the unit "oz" (ounces) related to measurements or quantities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ACTED
    -0.69
     Yard
    -0.66
    pled
    -0.65
     Lobby
    -0.64
    riott
    -0.61
     Scandinavian
    -0.60
    rosis
    -0.57
    inav
    -0.57
     sett
    -0.56
     Aid
    -0.56
    POSITIVE LOGITS
    ombie
    1.07
    ymes
    1.02
    edo
    1.02
    eki
    0.98
    arro
    0.98
    hou
    0.95
    enegger
    0.87
    hao
    0.87
    illas
    0.86
    ombies
    0.86
    Activations Density 0.032%

    No Known Activations