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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. 11-RES-JB
    11. 21643
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    Explanations

    information related to member activity and merits on an online platform

    oai_token-act-pair · gpt-3.5-turbo

    metrics related to performance and achievement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.70
     terminating
    -0.65
     subconscious
    -0.63
     liner
    -0.62
     remnants
    -0.61
    naires
    -0.60
     exagger
    -0.60
     numbering
    -0.60
    RAW
    -0.60
     unconsciously
    -0.60
    POSITIVE LOGITS
    Merit
    1.35
    Thread
    1.00
    Joined
    1.00
    Posts
    0.94
    Activity
    0.93
    Location
    0.90
    Member
    0.83
    BTC
    0.82
    Join
    0.79
    BuyableInstoreAndOnline
    0.78
    Activations Density 0.032%

    No Known Activations