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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. 4-RES-JB
    11. 16202
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    Explanations

    phrases related to enjoyable experiences or activities

    oai_token-act-pair · gpt-3.5-turbo

    references to enjoyable or entertaining experiences

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

    No Comments

    Negative Logits
     Centauri
    -0.69
     bottleneck
    -0.67
     defic
    -0.65
     Transparency
    -0.61
     herds
    -0.61
     Chiefs
    -0.61
     ceilings
    -0.60
    BOOK
    -0.60
     acknow
    -0.60
    attle
    -0.59
    POSITIVE LOGITS
    nels
    1.44
    gal
    1.10
    eral
    1.05
    nell
    1.01
    nel
    0.95
     fun
    0.86
    ctor
    0.85
    ilee
    0.85
    #$
    0.80
    Fun
    0.77
    Activations Density 0.019%

    No Known Activations