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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. 7-RES-JB
    11. 14232
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    Explanations

    verbs or phrases related to the ending or resolution of a situation

    oai_token-act-pair · gpt-3.5-turbo

    words associated with endings or conclusions of situations

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Negative Logits
     kidding
    -0.63
    osure
    -0.61
    peria
    -0.61
    76561
    -0.59
    ortment
    -0.59
     pilgr
    -0.58
    ascal
    -0.58
    otropic
    -0.57
     wonder
    -0.56
     reminis
    -0.56
    POSITIVE LOGITS
     anytime
    0.94
     sooner
    0.91
     someday
    0.88
    uate
    0.86
     tomorrow
    0.76
     smoothly
    0.75
     unless
    0.74
     sometime
    0.74
     anywhere
    0.73
     soon
    0.69
    Activations Density 0.265%

    No Known Activations