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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. 3-RES-JB
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    Explanations

    words ending in "ins" that may be proper nouns or have specific relevance in the given context

    oai_token-act-pair · gpt-3.5-turbo

    the word "ins" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ¶ħ
    -0.73
    ŃĶ
    -0.71
    ļé
    -0.67
     compr
    -0.66
     Sigma
    -0.66
    £ı
    -0.65
    catentry
    -0.65
     LIA
    -0.64
    ¥µ
    -0.63
    senal
    -0.62
    POSITIVE LOGITS
    pection
    1.26
    urance
    1.11
    pect
    1.09
    urg
    1.06
    uit
    1.06
    ensitive
    1.05
    piration
    1.04
    ufficient
    1.02
    anity
    0.97
    mith
    0.96
    Activations Density 0.012%

    No Known Activations