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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. 6936
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    Explanations

    phrases related to specific numerical plans or instructions

    oai_token-act-pair · gpt-3.5-turbo

    mentions of plans or scheduled events

    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
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    Negative Logits
    ²¾
    -0.72
    STAR
    -0.69
    soDeliveryDate
    -0.66
    BAT
    -0.65
     liner
    -0.64
    20439
    -0.62
    asar
    -0.61
    ãĤ¡
    -0.60
    ãĤ´
    -0.60
    ŃĶ
    -0.59
    POSITIVE LOGITS
    iferation
    0.65
     Sparks
    0.62
    arse
    0.62
     Syndicate
    0.62
     Qi
    0.61
     NX
    0.59
     Achievements
    0.59
    payers
    0.58
    iliate
    0.57
     Gren
    0.57
    Activations Density 0.159%

    No Known Activations