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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. 10-RES-JB
    11. 21506
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    Explanations

    strong desires or wishes expressed in texts

    oai_token-act-pair · gpt-3.5-turbo

    expressions of desire

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    mans
    -0.75
    bah
    -0.65
    struct
    -0.65
    krit
    -0.65
    vae
    -0.64
    itu
    -0.62
    icans
    -0.62
    Dispatch
    -0.62
    umenthal
    -0.60
    icka
    -0.59
    POSITIVE LOGITS
     to
    0.92
     fulfilled
    0.92
    urable
    0.87
    reprene
    0.83
     fulfillment
    0.78
     toward
    0.77
     towards
    0.75
     aroused
    0.75
     for
    0.74
    lessly
    0.71
    Activations Density 0.066%

    No Known Activations