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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. 6-RES-JB
    11. 15053
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    Explanations

    pronouns or nouns related to objects or entities

    oai_token-act-pair · gpt-3.5-turbo

    terms related to actions involving an object

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Kelley
    -0.70
     Polk
    -0.63
     Amanda
    -0.62
     microphones
    -0.59
     Yel
    -0.59
    ãĥ©ãĥ³
    -0.58
     Angola
    -0.58
     Chili
    -0.58
     Kang
    -0.57
    ONSORED
    -0.56
    POSITIVE LOGITS
    alian
    1.13
     accordingly
    0.96
    ividual
    0.87
    atic
    0.85
    self
    0.85
    raq
    0.78
    unes
    0.78
     separately
    0.75
    rification
    0.75
     afterwards
    0.75
    Activations Density 0.221%

    No Known Activations