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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. 4-RES-JB
    6. 23954
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    Explanations

    mentions of the term "mit" or variations of the word "mitigate"

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Mit" or its variations, often related to the context of the name or entity associated with it

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

    No Comments

    Negative Logits
    poons
    -0.76
    ĪĴ
    -0.75
     snipp
    -0.74
    poon
    -0.73
    watching
    -0.72
    SHIP
    -0.70
    sword
    -0.69
    esome
    -0.69
    cloth
    -0.68
    ãģĭ
    -0.67
    POSITIVE LOGITS
    ochond
    1.37
    igation
    1.13
     Mit
    1.04
    iation
    1.01
    igating
    1.01
    chell
    0.99
    igated
    0.98
    igators
    0.89
    igator
    0.85
    rov
    0.85
    Activations Density 0.009%

    No Known Activations