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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. 10-RES-JB
    11. 8382
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    Explanations

    instances of actions taken by individuals

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    izable
    -0.71
     validity
    -0.62
     practise
    -0.62
     Moderate
    -0.62
     Plans
    -0.60
     Lies
    -0.60
     Extend
    -0.60
    guy
    -0.60
    worthiness
    -0.59
     @@
    -0.58
    POSITIVE LOGITS
     bitten
    1.24
     confronted
    1.18
     lured
    1.12
     inund
    1.12
     abducted
    1.10
     rescued
    1.10
     struck
    1.09
     attacked
    1.08
     subjected
    1.07
     transported
    1.07
    Activations Density 0.226%

    No Known Activations