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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. 3-RES-JB
    11. 12904
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    oai_token-act-pair · gpt-3.5-turbo

    phrases relating to purpose or intention

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
    SPONSORED
    -0.79
    tex
    -0.75
    cit
    -0.74
    oner
    -0.73
    visor
    -0.73
    acks
    -0.67
    anon
    -0.66
    visors
    -0.66
    java
    -0.65
    Du
    -0.64
    POSITIVE LOGITS
     intended
    0.83
     Parenthood
    0.72
     intending
    0.72
     guiActiveUn
    0.68
    IAL
    0.68
     meant
    0.66
     intent
    0.65
    awaru
    0.64
     recipients
    0.64
    ividual
    0.64
    Activations Density 0.015%

    No Known Activations