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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. 17125
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    Explanations

    qualifiers for time duration

    oai_token-act-pair · gpt-3.5-turbo

    repetitive phrases that start with the phrase "for a" followed by a variable noun or adjective

    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
    grounds
    -0.71
    orders
    -0.69
    antine
    -0.66
    izations
    -0.65
    artifacts
    -0.61
    rules
    -0.61
    APD
    -0.60
    Edge
    -0.60
    avid
    -0.60
    flows
    -0.59
    POSITIVE LOGITS
     reason
    1.17
     while
    1.09
     moment
    1.02
     sake
    1.00
     duration
    0.99
     period
    0.98
     brief
    0.95
     fee
    0.91
     variety
    0.91
     foreseeable
    0.89
    Activations Density 0.098%

    No Known Activations