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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 10-RES-JB
    6. 22503
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    Explanations

    Initials "Et" at the beginning of a word, typically seen in names or abbreviations

    oai_token-act-pair · gpt-3.5-turbo

    the word "Et" and its variations, indicating a focus on conjunctions or linking phrases in a narrative

    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
    biased
    -0.66
    anmar
    -0.65
    æĪ¦
    -0.63
    interrupted
    -0.63
    EStreamFrame
    -0.59
    ¥ŀ
    -0.58
    against
    -0.58
     narrowly
    -0.57
     hawk
    -0.57
    esses
    -0.57
    POSITIVE LOGITS
    iquette
    1.54
    ihad
    1.22
    udes
    1.11
    iology
    1.03
    ienne
    1.03
    ween
    0.91
    ude
    0.91
    ree
    0.88
    obic
    0.87
    ablish
    0.86
    Activations Density 0.019%

    No Known Activations