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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
    11. 4177
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    Explanations

    proper nouns or names

    oai_token-act-pair · gpt-3.5-turbo

    references to augmented reality

    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
    tons
    -0.81
    ĸļ
    -0.80
     Rasmussen
    -0.75
     Mercury
    -0.71
    phis
    -0.68
    ĨĴ
    -0.68
     Vide
    -0.68
    ãĥīãĥ©
    -0.66
     Fortune
    -0.65
     Europa
    -0.65
    POSITIVE LOGITS
    RR
    0.97
    ILY
    0.93
    ENA
    0.93
    ELY
    0.91
    andom
    0.91
    IGN
    0.89
    RAG
    0.89
    MY
    0.87
    TH
    0.85
    IES
    0.85
    Activations Density 0.011%

    No Known Activations