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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. 10-RES-JB
    11. 5624
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    Explanations

    phrases related to participation or involvement in various activities

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating involvement or participation in activities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    shown
    -0.67
    href
    -0.62
     pall
    -0.59
     SetTextColor
    -0.59
    iam
    -0.59
     Nanto
    -0.58
     Defendants
    -0.58
     Ply
    -0.58
     nonex
    -0.58
     Danish
    -0.57
    POSITIVE LOGITS
     groove
    1.08
     ASAP
    1.01
     sooner
    0.88
     bandwagon
    0.87
     quicker
    0.86
    wagon
    0.77
     alright
    0.77
     shenanigans
    0.76
     faster
    0.76
     weeds
    0.76
    Activations Density 0.302%

    No Known Activations