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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. 12024
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    Explanations

    instances where individuals want to do something

    oai_token-act-pair · gpt-3.5-turbo

    the infinitive form of the verb "to" followed by action-oriented phrases or intentions

    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
    VERTISEMENT
    -0.78
     Compass
    -0.76
    Required
    -0.75
    levels
    -0.68
    alf
    -0.68
    grounds
    -0.67
     guiActiveUn
    -0.64
    quickShipAvailable
    -0.63
    rising
    -0.63
     Tracks
    -0.63
    POSITIVE LOGITS
     emulate
    1.13
     keep
    1.08
     maximize
    1.06
     capitalize
    1.05
     pursue
    1.03
     give
    1.01
     make
    1.01
     avoid
    1.00
     recreate
    1.00
     preserve
    0.99
    Activations Density 0.160%

    No Known Activations