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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. 9071
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    Explanations

    mentions of the Massachusetts Institute of Technology (MIT)

    oai_token-act-pair · gpt-3.5-turbo

    mentions of institutions, particularly MIT

    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
    naire
    -0.90
    order
    -0.84
    naires
    -0.83
    views
    -0.83
    loading
    -0.80
    orders
    -0.78
    swing
    -0.76
    arity
    -0.74
    ord
    -0.74
    stals
    -0.73
    POSITIVE LOGITS
     MIT
    0.93
     Sloan
    0.81
    CLA
    0.80
    LEY
    0.79
    hesis
    0.79
    ©¶æ
    0.79
     reluct
    0.77
    MIT
    0.77
    ©¶æ¥µ
    0.75
    ailability
    0.74
    Activations Density 0.005%

    No Known Activations