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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. 1627
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    INDEX
    Explanations

    actions associated with continuity or persistence

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating ongoing actions or commitments

    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
    EStream
    -0.81
    quickShipAvailable
    -0.73
    starting
    -0.72
    é¾įåĸļ士
    -0.71
    soDeliveryDate
    -0.67
    Secondly
    -0.64
    Time
    -0.63
    started
    -0.63
    Sure
    -0.63
    OTAL
    -0.63
    POSITIVE LOGITS
     refine
    1.12
     strive
    1.11
     pursue
    1.10
     operate
    1.03
     invest
    1.02
     cooperate
    1.01
     rely
    1.01
     innovate
    0.99
     explore
    0.97
     accumulate
    0.96
    Activations Density 0.065%

    No Known Activations