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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. 18495
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    Explanations

    phrases related to celebration or positive experiences

    oai_token-act-pair · gpt-3.5-turbo

    references to bonfires and the related theme of celebration

    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
    pta
    -0.71
     Symptoms
    -0.63
    UX
    -0.62
    Sym
    -0.62
     Spy
    -0.62
     Nicotine
    -0.61
    enza
    -0.61
     outpatient
    -0.61
    PRES
    -0.60
     Patient
    -0.60
    POSITIVE LOGITS
     bon
    1.10
    bon
    0.99
     fide
    0.99
    bat
    0.90
    eless
    0.89
    iously
    0.88
    uit
    0.87
    uses
    0.84
    anza
    0.83
    nets
    0.81
    Activations Density 0.010%

    No Known Activations