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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. 3-RES-JB
    11. 23485
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    Explanations

    mentions of the city "Vaughan" specifically

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the string "ont" across various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Rabbit
    -0.79
     è£ıç
    -0.75
    MODE
    -0.74
    tips
    -0.71
    ulative
    -0.71
    BILITIES
    -0.70
    MU
    -0.70
    ħĭ
    -0.69
    è¦ļéĨĴ
    -0.69
    CVE
    -0.69
    POSITIVE LOGITS
    osaurus
    0.98
    gomery
    0.96
    ont
    0.96
    ract
    0.94
    ario
    0.93
    ribut
    0.91
    rol
    0.88
    ractor
    0.87
    onso
    0.84
    ainment
    0.83
    Activations Density 0.012%

    No Known Activations