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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. 8193
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    Explanations

    words related to aquariums

    oai_token-act-pair · gpt-3.5-turbo

    words related to aquariums and aquatic environments

    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
    LOAD
    -0.75
    gun
    -0.70
    bang
    -0.69
    nder
    -0.69
    bow
    -0.65
    kus
    -0.65
    cloud
    -0.64
    comb
    -0.61
    bird
    -0.61
    loading
    -0.61
    POSITIVE LOGITS
    arium
    1.13
     aquarium
    1.03
    ertodd
    0.85
    s
    0.76
     Pwr
    0.76
     enclosure
    0.75
    paio
    0.75
    conservancy
    0.74
    yrinth
    0.73
     Seym
    0.72
    Activations Density 0.011%

    No Known Activations