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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. 10-RES-JB
    11. 4337
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    INDEX
    Explanations

    specific goals or objectives described in text

    oai_token-act-pair · gpt-3.5-turbo

    statements of objectives or goals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    quickShipAvailable
    -0.82
     Warning
    -0.67
     glances
    -0.63
     Talks
    -0.60
     worries
    -0.60
    joy
    -0.60
     rests
    -0.60
    guards
    -0.60
     lurking
    -0.60
     bolted
    -0.59
    POSITIVE LOGITS
     educate
    1.27
     eradicate
    1.25
     recreate
    1.24
     create
    1.22
     establish
    1.19
     improve
    1.19
     maximize
    1.17
     replicate
    1.17
     eliminate
    1.16
     emulate
    1.15
    Activations Density 0.140%

    No Known Activations