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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. 3-RES-JB
    11. 12429
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    Explanations

    phrases related to receiving something

    oai_token-act-pair · gpt-3.5-turbo

    sentences mentioning the act of receiving something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fall
    -0.60
     Quantity
    -0.58
     coffin
    -0.56
     obsc
    -0.55
     scen
    -0.55
     downfall
    -0.55
    rev
    -0.55
     mortg
    -0.54
    izza
    -0.54
    flation
    -0.54
    POSITIVE LOGITS
    dinand
    0.83
    terson
    0.83
    DragonMagazine
    0.82
    namese
    0.75
    å¼
    0.73
    DAQ
    0.72
    ograp
    0.71
    isson
    0.70
    imentary
    0.70
    imental
    0.70
    Activations Density 0.031%

    No Known Activations