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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. 5823
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    Explanations

    phrases related to performing various tasks and activities in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to various tasks and activities, especially those related to driving, household chores, and occupational functions

    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
    osponsors
    -0.81
    apego
    -0.73
    DOS
    -0.71
    amaz
    -0.64
    TW
    -0.64
    REAM
    -0.63
     Dise
    -0.63
    Tri
    -0.62
     Beware
    -0.62
     teasp
    -0.60
    POSITIVE LOGITS
     imaginable
    1.07
     including
    1.03
     such
    0.93
     requiring
    0.93
     involving
    0.92
     pertaining
    0.91
     besides
    0.91
     relating
    0.90
     namely
    0.89
     tasks
    0.89
    Activations Density 0.405%

    No Known Activations