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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. 12-RES-JB
    11. 3127
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    INDEX
    Explanations

    positive and confident adjectives

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    words expressing confidence, optimism, or quality

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    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_post
    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
     Judge
    -0.55
     Neil
    -0.53
     Kai
    -0.53
     Mason
    -0.52
     War
    -0.52
     Lia
    -0.52
     Pole
    -0.52
     Wiz
    -0.52
     Bog
    -0.51
     Representative
    -0.51
    POSITIVE LOGITS
     teasp
    0.92
    DeliveryDate
    0.92
     pione
    0.90
    quickShipAvailable
    0.89
    inventoryQuantity
    0.89
    Ĕ
    0.88
    ă
    0.88
    ü
    0.88
    ù
    0.88
    0.87
    Activations Density 0.379%

    No Known Activations