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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. 8-RES-JB
    11. 8944
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    phrases related to individual experiences and aspirations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ebin
    -0.71
     WATCH
    -0.64
    jen
    -0.58
    olphins
    -0.58
    ctuary
    -0.56
    osponsors
    -0.56
    maxwell
    -0.55
     Adds
    -0.54
    obook
    -0.53
     HERE
    -0.53
    POSITIVE LOGITS
     mattered
    0.99
     depended
    0.93
     lacked
    0.91
     hadn
    0.90
     belonged
    0.90
     outwe
    0.89
     resembled
    0.87
     tended
    0.86
     amounted
    0.85
     had
    0.84
    Activations Density 2.824%

    No Known Activations