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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. 2-RES-JB
    11. 5969
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    INDEX
    Explanations

    phrases indicating a strong desire or wish

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing desires or intentions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    listed
    -0.67
    quickShipAvailable
    -0.67
    soDeliveryDate
    -0.62
    announced
    -0.60
     Appears
    -0.59
    rising
    -0.57
    _.
    -0.56
    lip
    -0.55
    Got
    -0.55
     guiActiveUn
    -0.55
    POSITIVE LOGITS
     be
    1.18
     keep
    1.16
     give
    1.15
     avoid
    1.12
     solve
    1.11
     provide
    1.11
     bring
    1.08
     minimize
    1.08
     eliminate
    1.08
     make
    1.07
    Activations Density 1.131%

    No Known Activations