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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. 5884
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    Explanations

    phrases related to expressing opinions or emotions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express recognition or acknowledgment of reality

    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
    ģĸ
    -0.62
    \<
    -0.58
     beyond
    -0.58
    .</
    -0.56
     RELEASE
    -0.55
    omorphic
    -0.54
    OTUS
    -0.54
    auder
    -0.54
     lacks
    -0.53
    atar
    -0.53
    POSITIVE LOGITS
     it
    1.09
    it
    0.81
    It
    0.79
     them
    0.76
    inventoryQuantity
    0.76
     It
    0.74
     IT
    0.72
     nutshell
    0.70
     Them
    0.66
     THEM
    0.66
    Activations Density 0.396%

    No Known Activations