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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. 11-RES-JB
    11. 270
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    Explanations

    phrases indicating causation or potential harm

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    faced
    -0.74
    sonian
    -0.74
    idav
    -0.74
    stra
    -0.71
    itsch
    -0.69
    finished
    -0.66
    provided
    -0.65
    available
    -0.64
     fixme
    -0.64
    sung
    -0.64
    POSITIVE LOGITS
     havoc
    1.41
     confusion
    1.14
     headaches
    1.12
     mayhem
    1.10
     trouble
    1.06
     undue
    1.05
     problems
    1.03
     discomfort
    0.98
     uproar
    0.98
     panic
    0.97
    Activations Density 0.051%

    No Known Activations