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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. 10-RES-JB
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    Explanations

    phrases related to the use of force, particularly in a military or law enforcement context

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the regulation and discussion of the use of force in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soon
    -0.76
    boxing
    -0.74
    orage
    -0.68
    gradation
    -0.68
    important
    -0.65
    lement
    -0.64
    llor
    -0.62
    nings
    -0.62
    hower
    -0.62
    ablishment
    -0.61
    POSITIVE LOGITS
     force
    1.03
     coercive
    0.99
     discretion
    0.98
     antibiotics
    0.96
     pesticides
    0.96
     coercion
    0.94
     aliases
    0.94
     contraceptives
    0.93
     loudspe
    0.89
     pronouns
    0.88
    Activations Density 0.113%

    No Known Activations