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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    7. Residual Stream
    9. 2-RES-JB
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    Explanations

    the word "get"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "get" in various contexts

    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
     Britann
    -0.65
    iege
    -0.65
     depiction
    -0.64
    è¦ļéĨĴ
    -0.60
     Archdemon
    -0.59
     Palestin
    -0.59
     enclosure
    -0.58
    enture
    -0.58
    cair
    -0.57
    ridge
    -0.57
    POSITIVE LOGITS
     rid
    1.18
    TING
    0.97
    tin
    0.90
    aways
    0.81
    away
    0.79
    gets
    0.77
     bog
    0.76
     acquainted
    0.75
     START
    0.74
    terson
    0.73
    Activations Density 0.109%

    No Known Activations