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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. 2-RES-JB
    11. 5304
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    INDEX
    Explanations

    references to customers or potential buyers in a business context

    oai_token-act-pair · gpt-3.5-turbo

    references to clients in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ATIONAL
    -0.75
     Gren
    -0.68
     Hug
    -0.68
    GGGG
    -0.67
    lihood
    -0.66
    cknowled
    -0.66
     Tec
    -0.65
    OOD
    -0.64
    ENC
    -0.64
    ENGTH
    -0.64
    POSITIVE LOGITS
    ele
    1.25
     clients
    1.24
     client
    0.94
    ients
    0.87
    hip
    0.83
    client
    0.81
    osponsors
    0.79
    eared
    0.78
    hare
    0.77
    hetically
    0.76
    Activations Density 0.007%

    No Known Activations