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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. 13139
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    Explanations

    mentions of locations or entities with the word "Canton" in them

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific brand or entity named "Cant" or its variations

    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
    CVE
    -0.81
    ONSORED
    -0.72
    Reviewer
    -0.65
    heads
    -0.65
    issance
    -0.65
    IGHTS
    -0.63
     unchanged
    -0.63
    packing
    -0.63
     unsur
    -0.62
     mosqu
    -0.61
    POSITIVE LOGITS
    rell
    1.28
    illon
    1.18
    een
    1.14
    onal
    1.08
    illation
    0.98
    rip
    0.98
    inas
    0.97
    icles
    0.96
    ones
    0.94
    ina
    0.94
    Activations Density 0.051%

    No Known Activations