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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. 8-RES-JB
    11. 406
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    Explanations

    phrases with the structure "verb + whatever + pronoun + can."

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to gathering or taking various items or resources

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    sted
    -0.67
    OV
    -0.67
    >>>>>>>>
    -0.64
    eters
    -0.63
    livious
    -0.62
    only
    -0.62
    itudinal
    -0.61
    eda
    -0.61
    ¨
    -0.61
    OSP
    -0.60
    POSITIVE LOGITS
     imaginable
    0.88
     reasonably
    0.87
     deems
    0.85
     deem
    0.84
     feas
    0.80
     deemed
    0.80
     muster
    0.79
    ktop
    0.73
     convenient
    0.73
     therein
    0.71
    Activations Density 0.273%

    No Known Activations