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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. 3-RES-JB
    11. 3013
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    Explanations

    mentions of substances being controlled or regulated in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to items or concepts that are regulated or managed by authority

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    åĭ
    -0.80
     Honour
    -0.80
    alos
    -0.75
    é¾įåĸļ士
    -0.71
    Na
    -0.71
    Rate
    -0.70
     honoured
    -0.70
    hire
    -0.67
    elt
    -0.67
    Ti
    -0.67
    POSITIVE LOGITS
     controlled
    1.21
     contro
    0.95
    controlled
    0.92
    poons
    0.89
     Controlled
    0.86
     controlling
    0.81
     runaway
    0.81
     territ
    0.80
    irect
    0.79
    ording
    0.75
    Activations Density 0.020%

    No Known Activations