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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
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    Explanations

    mentions of specific bodies of water, particularly seas and oceans

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific seas and bodies of water

    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
    Not in Any Lists

    No Comments

    Negative Logits
    esity
    -0.82
    OTE
    -0.76
    Bir
    -0.75
    ihilation
    -0.74
    keyes
    -0.74
    Rated
    -0.73
    ÑĮ
    -0.72
    mort
    -0.72
    sonian
    -0.71
    Marg
    -0.71
    POSITIVE LOGITS
     Scrolls
    1.03
     peninsula
    0.94
     Peninsula
    0.91
     Islands
    0.87
     region
    0.81
     Consortium
    0.81
     basin
    0.78
     islands
    0.78
     Authority
    0.76
     Route
    0.75
    Activations Density 0.051%

    No Known Activations