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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. 3649
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    Explanations

    names of locations

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns and names of places or people

    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
     dracon
    -0.63
    FORMATION
    -0.56
    etheless
    -0.55
     multit
    -0.52
    £ı
    -0.52
     bureaucr
    -0.51
     podium
    -0.50
     herald
    -0.50
     doom
    -0.49
     multic
    -0.49
    POSITIVE LOGITS
    oz
    0.71
    amo
    0.66
    ak
    0.66
    ali
    0.66
    ani
    0.66
    aj
    0.65
    jan
    0.65
    iane
    0.65
    iq
    0.65
    yna
    0.65
    Activations Density 0.492%

    No Known Activations