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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. 5274
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    Explanations

    different ways of doing something or different scenarios of potential actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating methods or approaches to various situations

    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
     Daytona
    -0.63
    oulos
    -0.62
    iability
    -0.62
    ipeg
    -0.61
     Colleg
    -0.60
    zzi
    -0.59
    esi
    -0.59
     Neph
    -0.58
     Whitney
    -0.58
     Branch
    -0.58
    POSITIVE LOGITS
     resembling
    0.91
     ranging
    0.86
     deemed
    0.80
     unimaginable
    0.79
    hots
    0.79
     unheard
    0.79
     unspecified
    0.79
    adobe
    0.78
    afety
    0.78
    20439
    0.78
    Activations Density 0.239%

    No Known Activations