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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. 6-RES-JB
    11. 20401
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    Explanations

    phrases related to making purchases or acquiring goods and services

    oai_token-act-pair · gpt-3.5-turbo

    various terms related to consumer behavior and activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    Negative Logits
    ¶ħ
    -0.65
    £ı
    -0.64
     Kafka
    -0.62
     Fitz
    -0.61
     Penal
    -0.61
     Reborn
    -0.61
     Flavoring
    -0.60
     Wolfe
    -0.60
    ModLoader
    -0.59
     rubber
    -0.58
    POSITIVE LOGITS
    ability
    0.85
     experience
    0.80
    able
    0.79
    iences
    0.76
     enjoyment
    0.75
    room
    0.75
    wear
    0.73
     behaviours
    0.71
    ience
    0.70
    rooms
    0.69
    Activations Density 0.456%

    No Known Activations