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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. 2888
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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 @ 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
    Reloaded
    -0.67
     slurs
    -0.65
    appa
    -0.62
    Thumbnail
    -0.61
     Baptist
    -0.61
    tein
    -0.59
     incarcer
    -0.58
    htar
    -0.58
     Massacre
    -0.57
    facts
    -0.57
    POSITIVE LOGITS
     alike
    1.09
     wanting
    1.03
     wishing
    1.02
     interested
    0.98
    erning
    0.89
     needing
    0.89
     sake
    0.86
     aspiring
    0.82
     purposes
    0.79
     itching
    0.79
    Activations Density 0.256%

    No Known Activations