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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. 14410
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    Explanations

    verbs related to discussion and mention

    oai_token-act-pair · gpt-3.5-turbo

    references to frequent topics of discussion

    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
     orderly
    -0.64
     captives
    -0.62
    puting
    -0.61
    pes
    -0.61
     hostages
    -0.59
    ahon
    -0.58
     Mages
    -0.58
     damages
    -0.57
    stro
    -0.57
    robe
    -0.56
    POSITIVE LOGITS
     extensively
    0.89
     firsthand
    0.89
     frequently
    0.83
     spor
    0.79
     throughout
    0.79
     during
    0.75
     regularly
    0.74
     aloud
    0.74
     countless
    0.73
     haunt
    0.72
    Activations Density 0.838%

    No Known Activations