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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. 1339
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    INDEX
    Explanations

    negative statements or contradictions

    oai_token-act-pair · gpt-3.5-turbo

    negation phrases and expressions of doubt

    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
    forcement
    -0.74
    padding
    -0.70
     discouraging
    -0.69
    quickShipAvailable
    -0.69
     swift
    -0.68
     arresting
    -0.68
    opening
    -0.67
     Reloaded
    -0.67
    PDATE
    -0.66
     concluding
    -0.66
    POSITIVE LOGITS
     belong
    1.37
     know
    1.24
     possess
    1.24
     despise
    1.22
     enjoy
    1.20
     reside
    1.17
     owe
    1.16
     adore
    1.16
     understand
    1.16
     behave
    1.16
    Activations Density 0.395%

    No Known Activations