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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. 526
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    Explanations

    words related to specific professions or occupations

    oai_token-act-pair · gpt-3.5-turbo

    specific cultural and social references

    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
     Carbuncle
    -0.58
     Lesbian
    -0.55
    Thumbnail
    -0.55
    uana
    -0.55
    vous
    -0.53
    endment
    -0.50
     Ern
    -0.50
     Appears
    -0.47
     Emerging
    -0.47
     Municip
    -0.47
    POSITIVE LOGITS
    isively
    0.64
    ishly
    0.60
    pes
    0.59
    heartedly
    0.58
    bugs
    0.57
    ograms
    0.55
     immunity
    0.54
     buffs
    0.54
    bol
    0.54
    actively
    0.54
    Activations Density 1.687%

    No Known Activations