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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. 10463
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    Explanations

    phrases related to large-scale events or actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to large scale issues or events

    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
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    No Comments

    Negative Logits
     McGregor
    -0.71
     Minerva
    -0.70
     Fidel
    -0.69
     Curse
    -0.68
     Pope
    -0.67
     Cullen
    -0.66
     Pok
    -0.66
     Scrib
    -0.66
     Zombies
    -0.65
     Finn
    -0.65
    POSITIVE LOGITS
    scale
    1.61
    bodied
    1.58
    sounding
    1.29
    dollar
    1.28
    sized
    1.27
    ticket
    1.21
    picture
    1.19
    caliber
    1.17
    budget
    1.16
    capacity
    1.15
    Activations Density 0.041%

    No Known Activations