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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. 5513
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    Explanations

    words related to a specific character or concept (Twilight) in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to the "Twilight" franchise and its associated characters

    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
    ulative
    -0.83
    Ģ
    -0.74
    irin
    -0.73
    olulu
    -0.72
    raham
    -0.71
    Ń·
    -0.71
    Ĩ
    -0.70
    enance
    -0.70
     Cosponsors
    -0.69
    joining
    -0.68
    POSITIVE LOGITS
     Sparkle
    1.56
     Twilight
    1.31
     Spike
    0.91
     Celest
    0.90
     Princess
    0.89
    ilight
    0.87
     Imperium
    0.86
     Zone
    0.77
     wat
    0.72
     Ying
    0.71
    Activations Density 0.011%

    No Known Activations