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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. 1-RES-JB
    11. 24027
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    Explanations

    words related to strong fixation or addiction

    oai_token-act-pair · gpt-3.5-turbo

    terms related to obsession and addiction

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Nou
    -0.80
    University
    -0.72
     RIS
    -0.72
    TPS
    -0.70
    grounds
    -0.68
     Universities
    -0.67
    IFF
    -0.67
    DragonMagazine
    -0.66
    soDeliveryDate
    -0.65
     Sinai
    -0.65
    POSITIVE LOGITS
     addicted
    0.86
    adoes
    0.82
     citiz
    0.82
    iband
    0.81
    ules
    0.79
    otine
    0.78
    achev
    0.75
     destro
    0.74
    agascar
    0.74
     adolesc
    0.73
    Activations Density 0.007%

    No Known Activations