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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. 9-RES-JB
    11. 16640
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    Explanations

    instances of the verb "saw" followed by a noun phrase

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "saw" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    trap
    -0.75
    onto
    -0.72
    isoft
    -0.68
    externalActionCode
    -0.68
    eware
    -0.67
    itus
    -0.67
    ©¶æ¥µ
    -0.65
    EStreamFrame
    -0.64
    bia
    -0.64
    esan
    -0.62
    POSITIVE LOGITS
    dust
    1.08
     firsthand
    1.06
     flashes
    0.91
     nothing
    0.88
     something
    0.88
     visions
    0.86
     signs
    0.85
     similarities
    0.83
     advertisements
    0.83
     glimps
    0.81
    Activations Density 0.095%

    No Known Activations