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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. 6-RES-JB
    6. 12101
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    Explanations

    key terms related to environmental destruction, specifically deforestation in the Amazon

    oai_token-act-pair · gpt-3.5-turbo

    empty or null content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    .","
    -0.64
     respectively
    -0.64
     prest
    -0.58
    ÏĢ
    -0.53
     thereto
    -0.53
     â̦"
    -0.53
     }}
    -0.52
     ..."
    -0.51
    zona
    -0.50
     [|
    -0.50
    POSITIVE LOGITS
    resa
    0.98
    odore
    0.86
    xiety
    0.81
    notations
    0.68
    uckland
    0.62
     Reporter
    0.61
    swers
    0.59
    mosp
    0.59
    ime
    0.58
    xon
    0.57
    Activations Density 0.654%

    No Known Activations