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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. 6-RES-JB
    11. 10749
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    INDEX
    Explanations

    occurrences of specific acronyms or abbreviations related to an organization or concept

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    acronyms related to organizations or companies

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    conom
    -0.74
    Downloadha
    -0.70
    doi
    -0.69
     è£ıè¦ļéĨĴ
    -0.67
    Magikarp
    -0.66
    nings
    -0.66
    staking
    -0.65
     Cyrus
    -0.63
     Carmen
    -0.63
    bilt
    -0.62
    POSITIVE LOGITS
    oute
    0.91
    ritical
    0.87
    ruits
    0.86
    urrent
    0.83
    urry
    0.82
    ords
    0.81
    asting
    0.81
    ranch
    0.80
    annabin
    0.80
    actory
    0.78
    Activations Density 0.027%

    No Known Activations