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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. 7-RES-JB
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    Explanations

    mentions of the word "haus"

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "aus" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     td
    -0.65
     short
    -0.61
     flashes
    -0.61
     cane
    -0.60
     cyt
    -0.58
    âĶĢâĶĢ
    -0.58
    Assembly
    -0.56
    KT
    -0.55
    issance
    -0.54
     rim
    -0.54
    POSITIVE LOGITS
    chwitz
    1.17
    ername
    1.00
    kas
    0.96
    aurus
    0.93
    ylum
    0.92
    atsu
    0.87
    anova
    0.86
    hea
    0.86
    adian
    0.85
    pring
    0.85
    Activations Density 0.035%

    No Known Activations