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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. 10-RES-JB
    11. 5347
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    Explanations

    phrases related to personal experiences and actions

    oai_token-act-pair · gpt-3.5-turbo

    references to significant experiences or personal interactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    clad
    -0.61
     delivers
    -0.58
    apixel
    -0.52
    fitted
    -0.52
     bount
    -0.51
     orchestr
    -0.51
     Canaver
    -0.50
     oversees
    -0.50
    atories
    -0.50
     assures
    -0.49
    POSITIVE LOGITS
     misunderstanding
    1.21
     misunderstand
    1.21
     incorrect
    1.15
     misunderstood
    1.14
     misinterpret
    1.10
     confused
    1.09
     incomplete
    1.09
     unsu
    1.07
     incorrectly
    1.06
     misunder
    1.04
    Activations Density 1.189%

    No Known Activations