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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. 19451
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    Explanations

    variations or differences in quantities or attributes

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to variation or differences

    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
    stra
    -0.79
    tur
    -0.76
    çĦ
    -0.74
    Bern
    -0.72
    zyk
    -0.71
    Ķ
    -0.70
    odore
    -0.69
    paper
    -0.68
    Assembly
    -0.68
    jay
    -0.67
    POSITIVE LOGITS
     wildly
    0.96
     widely
    0.91
     enormously
    0.88
    ially
    0.88
     geographically
    0.87
    yip
    0.87
     considerably
    0.87
     materially
    0.86
     depending
    0.85
     markedly
    0.85
    Activations Density 0.044%

    No Known Activations