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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. 2912
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    Explanations

    passive voice constructions

    oai_token-act-pair · gpt-3.5-turbo

    the word "being" and its various contexts in sentences

    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
    Not in Any Lists

    No Comments

    Negative Logits
     srfAttach
    -0.74
     VIDEOS
    -0.70
     Relief
    -0.68
    PsyNetMessage
    -0.67
     endings
    -0.67
     Mobility
    -0.64
     Beginning
    -0.64
     Lag
    -0.64
     Awakens
    -0.63
    warts
    -0.62
    POSITIVE LOGITS
     investigated
    1.06
    amed
    0.99
     chased
    0.97
     evaluated
    0.96
     hunted
    0.96
     pursued
    0.94
     treated
    0.93
     tested
    0.93
     replaced
    0.92
     monitored
    0.92
    Activations Density 0.074%

    No Known Activations