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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. 9-RES-JB
    11. 5904
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    Explanations

    descriptions of dangerous situations involving attacks or predators

    oai_token-act-pair · gpt-3.5-turbo

    descriptions of threatening creatures and their actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    ©¶æ¥µ
    -0.76
     retrospect
    -0.75
    encers
    -0.75
     NCT
    -0.74
    é¾įå
    -0.72
    raltar
    -0.71
    soDeliveryDate
    -0.69
    igmat
    -0.68
    catentry
    -0.66
     Ranked
    -0.66
    POSITIVE LOGITS
     prey
    1.15
     humanoid
    0.96
     mating
    0.94
     claws
    0.94
     lifeless
    0.92
     itself
    0.91
     paws
    0.89
     predator
    0.87
     sentient
    0.86
     protr
    0.86
    Activations Density 0.649%

    No Known Activations