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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. 10-RES-JB
    11. 5120
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    phrases related to spreading information or messages

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to spreading information or messages

    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
    */(
    -0.97
    artments
    -0.77
    tarians
    -0.71
    eca
    -0.71
    gdala
    -0.70
    paio
    -0.69
    otte
    -0.69
    ocene
    -0.65
    cé
    -0.64
    coni
    -0.64
    POSITIVE LOGITS
     gospel
    1.30
     misinformation
    1.26
     message
    1.15
     disinformation
    1.13
     knowledge
    1.12
     messages
    1.09
     leaflets
    1.04
     ideas
    1.02
     awareness
    1.01
     word
    1.00
    Activations Density 0.195%

    No Known Activations