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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. 1-RES-JB
    11. 19622
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    Explanations

    phrases related to objects being tightly packed or filled

    oai_token-act-pair · gpt-3.5-turbo

    words related to filling or overcrowding

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    externalActionCode
    -0.68
    âĵĺ
    -0.68
    views
    -0.67
     Source
    -0.67
    unes
    -0.65
    MAL
    -0.65
     Siren
    -0.65
    EFF
    -0.65
    appro
    -0.64
    APH
    -0.63
    POSITIVE LOGITS
     stuffed
    1.33
     stuffing
    1.02
    ciating
    0.92
    eteria
    0.88
    bags
    0.87
    ulously
    0.83
    bag
    0.82
    ertodd
    0.78
    nesday
    0.77
    glers
    0.77
    Activations Density 0.015%

    No Known Activations