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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 4378
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    INDEX
    Explanations

    proper nouns representing demands or actions requested

    oai_token-act-pair · gpt-3.5-turbo

    references to demands made by individuals or groups

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    GGGGGGGG
    -0.81
    asma
    -0.70
     Wrath
    -0.69
     vib
    -0.69
    loading
    -0.65
     guiActiveUn
    -0.65
     swirling
    -0.63
    growing
    -0.62
     knots
    -0.62
    @#&
    -0.60
    POSITIVE LOGITS
     be
    1.20
     refrain
    1.20
     adopt
    1.15
     submit
    1.07
     disclose
    1.07
     undertake
    1.06
     proceed
    1.05
     recite
    1.05
     undergo
    1.04
     adhere
    1.04
    Activations Density 0.229%

    No Known Activations