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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. 11-RES-JB
    11. 14607
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    Explanations

    words related to actions or events

    oai_token-act-pair · gpt-3.5-turbo

    significant actions or conditions affecting health or performance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    erto
    -0.69
     Uses
    -0.68
    ggles
    -0.62
     Latest
    -0.62
     Announce
    -0.61
     wanna
    -0.61
     Officials
    -0.60
     undertake
    -0.59
    ethe
    -0.59
    Rush
    -0.59
    POSITIVE LOGITS
     resulted
    1.52
     ensured
    1.47
     culminated
    1.41
     ensued
    1.35
     prevented
    1.34
     prompted
    1.33
     convinced
    1.32
     led
    1.31
     proved
    1.30
     drove
    1.29
    Activations Density 0.449%

    No Known Activations