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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 4-RES-JB
    6. 7666
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    INDEX
    Explanations

    percentage and quantitative increases

    oai_token-act-pair · gpt-3.5-turbo

    terms related to growth or increase in various contexts

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

    No Comments

    Negative Logits
    PAR
    -0.67
     Cabin
    -0.65
    Images
    -0.64
     Stores
    -0.62
    JECT
    -0.61
    english
    -0.60
    rome
    -0.59
    Ns
    -0.59
     Bowman
    -0.59
    Featured
    -0.58
    POSITIVE LOGITS
    xual
    1.19
    emaker
    0.81
    ahead
    0.81
    backs
    0.81
     subsequ
    0.80
     stemming
    0.79
    itures
    0.77
    ursion
    0.76
    jriwal
    0.76
    eful
    0.76
    Activations Density 0.091%

    No Known Activations