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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. 11-RES-JB
    11. 12092
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    INDEX
    Explanations

    words related to concerns, fears, risks, and consequences in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to legal and regulatory concerns

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •layer 11 - fear

    No Comments

    Negative Logits
    ascus
    -0.84
    ortality
    -0.82
    usalem
    -0.77
    hiro
    -0.75
    oeuv
    -0.74
    cellence
    -0.74
    Sir
    -0.73
    urgy
    -0.73
    wcsstore
    -0.72
     è£ıç
    -0.71
    POSITIVE LOGITS
     nonprofits
    1.22
     regulators
    1.20
     insurers
    1.19
     companies
    1.19
     employers
    1.18
     taxpayers
    1.12
     firms
    1.11
     lawmakers
    1.10
     consumers
    1.09
     recipients
    1.08
    Activations Density 0.592%

    No Known Activations