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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. 4-RES-JB
    11. 3680
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    INDEX
    Explanations

    opportunities or chances to do something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate an opportunity or chance to take action

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

    No Comments

    Negative Logits
    soDeliveryDate
    -0.95
    furt
    -0.74
    advertising
    -0.72
    existent
    -0.72
    hent
    -0.70
    Cho
    -0.68
    dependent
    -0.67
    arant
    -0.67
     Needs
    -0.67
    quickShipAvailable
    -0.67
    POSITIVE LOGITS
     indulge
    1.01
     celebrate
    0.99
     explore
    0.97
     solve
    0.96
     meet
    0.96
     fulfill
    0.93
     engage
    0.93
     revisit
    0.91
     negotiate
    0.91
     educate
    0.91
    Activations Density 0.085%

    No Known Activations