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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. 3413
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    Explanations

    personal pronouns

    oai_token-act-pair · gpt-3.5-turbo

    pronouns and references to people involved in social situations

    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
    worldly
    -0.77
    HCR
    -0.68
    ritical
    -0.67
    orthy
    -0.67
     Accordingly
    -0.65
     Windsor
    -0.64
     protections
    -0.64
    quartered
    -0.64
     affirmation
    -0.64
    earchers
    -0.63
    POSITIVE LOGITS
     kinda
    1.22
     wanna
    1.20
     REALLY
    1.15
     gonna
    1.13
     forgot
    1.06
     didnt
    1.06
     actually
    1.05
     goof
    1.05
     messed
    1.04
     fucked
    1.03
    Activations Density 0.752%

    No Known Activations