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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. 7151
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    Explanations

    phrases describing organizations or entities being officially classified or designated, often with negative connotations

    oai_token-act-pair · gpt-3.5-turbo

    terms related to classifications and designations of organizations and substances as terrorist or harmful

    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
     frustrations
    -0.87
     tales
    -0.84
     whispers
    -0.76
     intuition
    -0.74
     glances
    -0.73
    scenes
    -0.72
     anecdotes
    -0.72
     overwhelm
    -0.71
     dreams
    -0.69
     mentality
    -0.69
    POSITIVE LOGITS
     eligible
    1.12
     punishable
    1.09
     prohibited
    1.05
     exempt
    1.03
    CLASSIFIED
    1.03
    eligible
    1.03
     ineligible
    1.03
    exempt
    1.01
     federally
    0.95
    angered
    0.94
    Activations Density 0.456%

    No Known Activations