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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. 2-RES-JB
    11. 5738
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    Explanations

    the word "foreseeable"

    oai_token-act-pair · gpt-3.5-turbo

    terms related to future predictions and discernment

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    etry
    -0.84
    raid
    -0.77
     Rousse
    -0.68
     mosqu
    -0.68
     suspic
    -0.68
    etrical
    -0.68
    eller
    -0.65
    cius
    -0.65
    irlf
    -0.65
    ernand
    -0.65
    POSITIVE LOGITS
     foreseeable
    0.90
    owicz
    0.78
    Ì
    0.77
    ãĢİ
    0.75
    puter
    0.75
    ãģ¦
    0.74
    ãĥķãĤ©
    0.73
    é»Ĵ
    0.70
    в
    0.70
    ãĤī
    0.69
    Activations Density 0.018%

    No Known Activations