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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. 4-RES-JB
    11. 24286
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    Explanations

    references to locations near the sea

    oai_token-act-pair · gpt-3.5-turbo

    references to seas and oceanic contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    gee
    -0.91
    ership
    -0.71
    SOURCE
    -0.71
    NC
    -0.69
    nce
    -0.68
     booth
    -0.66
    JECT
    -0.66
    Sing
    -0.65
     Recomm
    -0.65
    ATIONAL
    -0.64
    POSITIVE LOGITS
    hell
    1.17
     Seas
    1.05
    mith
    1.03
     seas
    0.98
    cale
    0.96
    creen
    0.88
    cape
    0.87
    hops
    0.85
     oceans
    0.85
    ide
    0.83
    Activations Density 0.021%

    No Known Activations