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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. 22643
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    INDEX
    Explanations

    verbs followed by an infinitive verb phrase indicating goals or intentions

    oai_token-act-pair · gpt-3.5-turbo

    intentions or goals related to actions

    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
    quickShipAvailable
    -0.76
    enforcement
    -0.75
     cached
    -0.73
     reactions
    -0.73
    forcing
    -0.72
     thresholds
    -0.71
    processing
    -0.69
     objectionable
    -0.69
    checking
    -0.68
     assessments
    -0.68
    POSITIVE LOGITS
     emulate
    1.29
     recreate
    1.23
     marry
    1.18
     someday
    1.16
     become
    1.15
     reinvent
    1.14
     pursue
    1.13
     fulfill
    1.10
     embody
    1.09
     explore
    1.07
    Activations Density 0.320%

    No Known Activations