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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. 5738
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    Explanations

    phrases related to significant increases or surges in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to increases or upward trends

    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
     halves
    -0.66
     throats
    -0.64
     quir
    -0.64
    mates
    -0.61
     subsystem
    -0.59
     summ
    -0.58
     subt
    -0.58
     limb
    -0.56
     harmless
    -0.56
    VICE
    -0.55
    POSITIVE LOGITS
     popularity
    0.90
    pour
    0.86
    ghai
    0.78
    ait
    0.75
     of
    0.72
    ivot
    0.72
    uation
    0.71
    inition
    0.70
     lately
    0.70
    uating
    0.70
    Activations Density 0.124%

    No Known Activations