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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. 11771
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    Explanations

    phrases related to performing actions or fulfilling obligations

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to actions and responsibilities

    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
    pora
    -0.77
     XT
    -0.65
     VIS
    -0.63
    ipel
    -0.61
    ritical
    -0.61
     circulation
    -0.61
    geries
    -0.60
    âĸĵ
    -0.60
    leased
    -0.60
     Vish
    -0.58
    POSITIVE LOGITS
     normally
    0.76
     reasonably
    0.75
     lawfully
    0.71
     dictated
    0.69
     wrong
    0.69
     legally
    0.69
    itaire
    0.68
     instinctively
    0.67
     damn
    0.67
     commandments
    0.66
    Activations Density 0.151%

    No Known Activations