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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. 9-RES-JB
    11. 1809
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    Explanations

    different ways of doing something

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating methods or approaches to achieve a goal

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     thereof
    -0.65
    olver
    -0.60
    raught
    -0.60
    oS
    -0.59
    onomy
    -0.58
    iren
    -0.57
    both
    -0.57
    plates
    -0.56
     thereto
    -0.54
    Interested
    -0.54
    POSITIVE LOGITS
     ourselves
    0.64
     themselves
    0.59
    iful
    0.57
     actual
    0.56
     dreaded
    0.54
     oneself
    0.54
     yourself
    0.54
     individually
    0.53
     costing
    0.53
    ogle
    0.53
    Activations Density 1.163%

    No Known Activations