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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. 1-RES-JB
    11. 3615
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    Explanations

    words related to the concept of perception

    oai_token-act-pair · gpt-3.5-turbo

    terms related to conceptual understanding and perception

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     reconc
    -0.80
     sober
    -0.70
     intest
    -0.66
     redemption
    -0.66
     Redemption
    -0.66
     dining
    -0.65
     solemn
    -0.62
     grievance
    -0.62
     reconciliation
    -0.61
     Sul
    -0.59
    POSITIVE LOGITS
    icons
    1.40
    rons
    1.19
    acles
    1.16
    ibles
    1.13
    ional
    1.07
    ual
    1.06
    ible
    1.06
    ibility
    1.03
    cept
    1.02
    ually
    1.02
    Activations Density 0.013%

    No Known Activations