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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. 7145
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    Explanations

    references to sand-related activities or settings

    oai_token-act-pair · gpt-3.5-turbo

    references to sand

    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
    PsyNetMessage
    -0.74
    urses
    -0.73
    oresc
    -0.73
    SPONSORED
    -0.72
    HF
    -0.70
    GBT
    -0.69
    otine
    -0.67
    verson
    -0.64
    BY
    -0.63
    viation
    -0.62
    POSITIVE LOGITS
     sand
    0.98
    bags
    0.92
    bag
    0.87
    sand
    0.86
    stone
    0.85
     beaches
    0.84
    illary
    0.79
    scape
    0.77
    tun
    0.77
    tro
    0.77
    Activations Density 0.005%

    No Known Activations