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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. 10127
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    Explanations

    phrases or verbs related to acquiring information or understanding

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the need for understanding and critical thinking

    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
    Owner
    -0.76
     Coff
    -0.73
     freezes
    -0.70
    ãĥŁ
    -0.68
     Bounty
    -0.67
     bount
    -0.65
    --+
    -0.64
     capped
    -0.64
    staff
    -0.62
    ipment
    -0.62
    POSITIVE LOGITS
     understand
    1.46
     comprehend
    1.28
     decipher
    1.17
     argue
    1.16
     analyze
    1.14
     understanding
    1.13
     wonder
    1.11
     debunk
    1.11
     explain
    1.09
     criticize
    1.08
    Activations Density 0.634%

    No Known Activations