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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 1570
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    Explanations

    commands or actions related to enforcing rules and consequences, such as removing, terminating, banning, and disbanding

    oai_token-act-pair · gpt-3.5-turbo

    words and phrases related to negative outcomes or penalties

    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
    ricanes
    -0.68
     lately
    -0.58
    inventoryQuantity
    -0.56
     involves
    -0.54
    emis
    -0.54
    quartered
    -0.53
    ricane
    -0.53
    ©¶æ
    -0.52
    onut
    -0.52
     plurality
    -0.52
    POSITIVE LOGITS
     forever
    1.24
     accordingly
    1.01
     instantly
    0.98
     automatically
    0.98
    .(
    0.94
    .
    0.91
    .[
    0.91
     unless
    0.90
    .</
    0.90
     regardless
    0.90
    Activations Density 0.557%

    No Known Activations