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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. 2-RES-JB
    6. 22272
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    Explanations

    mentions of technological advancements and developments

    oai_token-act-pair · gpt-3.5-turbo

    topics related to renewable energy and environmental concerns

    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
    anwhile
    -0.61
     Cosponsors
    -0.46
    enegger
    -0.45
    ño
    -0.44
    */(
    -0.43
    gered
    -0.42
    oglu
    -0.42
    ombs
    -0.41
    Downloadha
    -0.41
    enced
    -0.41
    POSITIVE LOGITS
     vulner
    0.51
     dissatisf
    0.49
     aggregation
    0.43
    ctrl
    0.42
     arrang
    0.42
     persuasion
    0.42
     seiz
    0.42
    .�
    0.41
     toile
    0.41
     dilig
    0.40
    Activations Density 6.221%

    No Known Activations