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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. 15483
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    Explanations

    phrases related to combinations or mixtures of different elements

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating combinations of elements or factors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
     Caption
    -0.86
    ffiti
    -0.70
    gun
    -0.69
    erer
    -0.68
    igil
    -0.67
    ario
    -0.65
    resy
    -0.64
    zbollah
    -0.63
    uer
    -0.63
    hra
    -0.63
    POSITIVE LOGITS
     sorts
    0.88
     disparate
    0.87
     sexes
    0.84
     genres
    0.80
     styles
    0.79
     halves
    0.79
     disciplines
    0.73
     extremes
    0.71
     cultures
    0.69
     positives
    0.69
    Activations Density 0.069%

    No Known Activations