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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. 4-RES-JB
    11. 9570
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    Explanations

    phrases and words related to fate, destiny, and preordained outcomes

    oai_token-act-pair · gpt-3.5-turbo

    words related to fate and destiny

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

    No Comments

    Negative Logits
    CHA
    -0.64
    OTOS
    -0.64
    owler
    -0.63
    aura
    -0.62
    assault
    -0.62
    ahi
    -0.57
    ressor
    -0.57
    addock
    -0.57
    olson
    -0.56
    eeks
    -0.55
    POSITIVE LOGITS
     adolesc
    0.92
    ģĸ
    0.87
    ãĥĢ
    0.82
    ãĥŀ
    0.82
     destined
    0.79
     destiny
    0.74
     rall
    0.72
    tenance
    0.71
    ||||
    0.68
    ãĥĺ
    0.67
    Activations Density 0.006%

    No Known Activations