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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. 0-RES-JB
    11. 13958
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    Explanations

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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 @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    motion
    -0.84
    Motion
    -0.77
     Ajax
    -0.74
     Iris
    -0.74
    CV
    -0.72
     Animation
    -0.72
     Femin
    -0.72
    Driver
    -0.69
     Athletic
    -0.68
    ipal
    -0.68
    POSITIVE LOGITS
     stockpile
    3.02
     stockp
    2.89
     stash
    2.72
     holdings
    2.21
     hoard
    2.05
     backlog
    1.24
     confiscated
    1.19
     crate
    1.18
     bunker
    1.18
     trove
    1.17
    Activations Density 0.053%

    No Known Activations