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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. 7327
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    Explanations

    phrases related to morning news programs

    oai_token-act-pair · gpt-3.5-turbo

    references to well-known television shows and characters

    oai_token-act-pair · gpt-4o-miniTriggered 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
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.94
    otom
    -0.78
     guiActiveUn
    -0.76
    utor
    -0.75
    çīĪ
    -0.75
    615
    -0.71
    sbm
    -0.68
    JM
    -0.67
    20439
    -0.66
    pta
    -0.66
    POSITIVE LOGITS
     outweigh
    0.78
     Samar
    0.77
     Hunting
    0.71
     luck
    0.65
    nered
    0.65
     outwe
    0.64
     Mahjong
    0.61
     Abe
    0.61
     repentance
    0.59
     Luck
    0.59
    Activations Density 0.207%

    No Known Activations