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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 16357
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    INDEX
    Explanations

    structured data entries related to offline activities and merits in an online community

    oai_token-act-pair · gpt-3.5-turbo

    references to specific activities and membership metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ©¶æ
    -0.76
    £ı
    -0.75
     subconscious
    -0.67
    eus
    -0.65
     verbally
    -0.64
     unconsciously
    -0.60
     attribut
    -0.60
    naires
    -0.59
     nep
    -0.59
    isphere
    -0.58
    POSITIVE LOGITS
    Merit
    1.25
    Thread
    0.84
    Joined
    0.79
     Armory
    0.78
    Activity
    0.74
    Buyable
    0.72
    BTC
    0.71
    BuyableInstoreAndOnline
    0.67
    Reward
    0.66
    Reply
    0.66
    Activations Density 0.037%

    No Known Activations