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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. 7-RES-JB
    11. 20884
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    Explanations

    terms related to acronyms or abbreviations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of social media platforms and related identifiers

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    tons
    -0.73
     Lama
    -0.67
    cens
    -0.66
    inventoryQuantity
    -0.64
     Alonso
    -0.64
     Byrne
    -0.64
    quer
    -0.63
     Reincarnated
    -0.60
    ================================
    -0.60
     Kali
    -0.59
    POSITIVE LOGITS
    SN
    0.99
    OW
    0.94
    BOOK
    0.90
    ARK
    0.87
    UFF
    0.83
    MP
    0.82
    ASH
    0.81
    ACK
    0.81
    OV
    0.78
    OCK
    0.77
    Activations Density 0.029%

    No Known Activations