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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. 2-RES-JB
    11. 22018
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    Explanations

    mentions of situations where something or someone is being compelled or pressured to do something against their will

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "forced" in relation to coercion or compulsion

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ership
    -0.83
    ight
    -0.78
    heimer
    -0.77
     Excellence
    -0.76
    ergy
    -0.73
    issance
    -0.72
     Blessed
    -0.71
    rou
    -0.71
    NOW
    -0.70
     Purpose
    -0.69
    POSITIVE LOGITS
     pneum
    0.85
     forced
    0.84
     laborers
    0.79
     overtime
    0.79
    ierrez
    0.75
     labou
    0.74
     handc
    0.74
     coerced
    0.72
    untarily
    0.70
    ansson
    0.70
    Activations Density 0.016%

    No Known Activations