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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. 7-RES-JB
    11. 13684
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    Explanations

    references to weather conditions and locations

    oai_token-act-pair · gpt-3.5-turbo

    connections related to weather phenomena and related statistical data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
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    No Comments

    Negative Logits
     fray
    -0.71
     redes
    -0.64
    ortium
    -0.63
    ECA
    -0.60
     fortun
    -0.55
    ãĤ¨ãĥ«
    -0.54
     backdoor
    -0.54
    REM
    -0.54
    idious
    -0.53
    furt
    -0.53
    POSITIVE LOGITS
     nails
    0.63
    ashtra
    0.57
    clinton
    0.54
     gran
    0.52
    sung
    0.52
    ooth
    0.51
    riage
    0.51
     Slug
    0.51
     Hemp
    0.49
     edges
    0.49
    Activations Density 0.950%

    No Known Activations