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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. 9770
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    Explanations

    mentions of physical cliffs in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to cliffs

    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
    Interstitial
    -0.87
    ufact
    -0.84
    apolis
    -0.84
    Role
    -0.83
    alg
    -0.76
    rity
    -0.75
    agara
    -0.75
    CTV
    -0.72
    natureconservancy
    -0.70
    uel
    -0.70
    POSITIVE LOGITS
     cliffs
    0.94
     dwellings
    0.90
     cliff
    0.90
     Dwell
    0.85
     ledge
    0.80
     lett
    0.77
    side
    0.77
     stump
    0.76
     summit
    0.76
     edge
    0.74
    Activations Density 0.033%

    No Known Activations