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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. 17306
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    INDEX
    Explanations

    phrases related to establishing a base, groundwork, or essential principles

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to foundational elements or principles

    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
    pmwiki
    -0.79
    quer
    -0.76
    quit
    -0.74
    opers
    -0.73
    haw
    -0.71
    cha
    -0.68
    cedented
    -0.67
    seek
    -0.65
    oping
    -0.64
    awar
    -0.63
    POSITIVE LOGITS
     foundation
    1.15
     foundations
    1.01
     underpin
    0.93
     groundwork
    0.89
     layer
    0.88
    layer
    0.87
     framework
    0.87
     principles
    0.86
     Principles
    0.80
     pillars
    0.79
    Activations Density 0.051%

    No Known Activations