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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. 15176
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    Explanations

    phrases related to offering or providing something

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate obligation or things that need to be done

    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
     Mellon
    -0.68
    imity
    -0.67
     Dahl
    -0.66
    itor
    -0.64
     Lima
    -0.62
    uated
    -0.61
     leaked
    -0.59
     leaks
    -0.59
    User
    -0.58
    lance
    -0.58
    POSITIVE LOGITS
     shove
    0.90
     accomplish
    0.86
     overcome
    0.85
     contend
    0.81
     prove
    0.77
     give
    0.76
     do
    0.75
     prepare
    0.75
     defend
    0.75
     justify
    0.74
    Activations Density 0.075%

    No Known Activations