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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. 706
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    Explanations

    phrases related to feeding or providing sustenance

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "fed" as it relates to nourishment or supply

    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
    Mah
    -0.68
     Ashes
    -0.64
    ansom
    -0.63
    Copyright
    -0.63
    arta
    -0.63
     Lawyers
    -0.62
    Sphere
    -0.62
    âĶĢâĶĢ
    -0.60
     Bru
    -0.60
    Merit
    -0.60
    POSITIVE LOGITS
     fed
    1.31
    fed
    1.00
    oras
    0.96
    oleon
    0.92
     feeding
    0.83
    ora
    0.83
    irect
    0.82
    ĸļ
    0.81
     horm
    0.81
    rique
    0.80
    Activations Density 0.005%

    No Known Activations