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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. 6-RES-JB
    6. 3323
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    Explanations

    phrases related to work and tasks that need to be completed

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to social issues and community awareness

    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
    taboola
    -0.49
    interstitial
    -0.44
    iership
    -0.43
     è£ıç
    -0.42
     dstg
    -0.41
    ye
    -0.40
    alist
    -0.40
    "))
    -0.40
    Enlarge
    -0.39
    acterial
    -0.39
    POSITIVE LOGITS
     however
    1.01
     meanwhile
    0.89
     therefore
    0.84
     moreover
    0.81
     furthermore
    0.75
    anwhile
    0.68
     though
    0.64
     also
    0.61
     accordingly
    0.60
     thus
    0.57
    Activations Density 2.078%

    No Known Activations