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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. 9-RES-JB
    11. 20019
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    Explanations

    sentences describing where someone was born

    oai_token-act-pair · gpt-3.5-turbo

    references to early life events or biographical details of individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     substitutes
    -0.70
     consolation
    -0.68
     replacements
    -0.66
     remedies
    -0.65
     PLUS
    -0.64
    rity
    -0.62
    deck
    -0.62
    afety
    -0.61
     nails
    -0.61
     targets
    -0.59
    POSITIVE LOGITS
    Early
    0.97
     Originally
    0.86
    Originally
    0.85
    Born
    0.84
    DragonMagazine
    0.77
    ],"
    0.75
    Spoiler
    0.74
     Started
    0.73
    Initially
    0.73
     Initially
    0.72
    Activations Density 0.082%

    No Known Activations