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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. 10-RES-JB
    11. 24336
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    Explanations

    phrases related to weight and diet

    oai_token-act-pair · gpt-3.5-turbo

    references to weight and weight loss

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etheless
    -0.76
    BLE
    -0.71
     VIS
    -0.68
    vironment
    -0.68
    RPG
    -0.67
    xon
    -0.67
    selves
    -0.66
    ICLE
    -0.66
     Hades
    -0.64
    opsis
    -0.64
    POSITIVE LOGITS
    lifting
    1.40
    lif
    1.04
    lessness
    0.96
     lifting
    0.96
    weights
    0.91
    loss
    0.90
    weight
    0.89
     gain
    0.85
     weights
    0.84
    cake
    0.83
    Activations Density 0.039%

    No Known Activations