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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. 7380
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    Explanations

    phrases related to foundational beliefs or origins

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to being established or deeply embedded in something

    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
    umbn
    -0.85
     MARK
    -0.75
    otos
    -0.75
    ebin
    -0.74
    chief
    -0.73
    kes
    -0.67
    essions
    -0.66
    isites
    -0.65
    blow
    -0.65
    apes
    -0.64
    POSITIVE LOGITS
     rooted
    0.85
     ingrained
    0.80
     roots
    0.77
     Roots
    0.75
     Marxism
    0.72
     firmly
    0.70
    âĵĺ
    0.67
     Marxist
    0.62
     empir
    0.62
    edIn
    0.61
    Activations Density 0.021%

    No Known Activations