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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. 9-RES-JB
    11. 9976
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    Explanations

    geological terms related to the Earth's climate

    oai_token-act-pair · gpt-3.5-turbo

    terms related to environmental and geological phenomena

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    olulu
    -0.62
    ¬¼
    -0.61
    »Ĵ
    -0.58
    entimes
    -0.56
     alike
    -0.55
    issan
    -0.55
    etheless
    -0.54
    Ļ½
    -0.53
    æĦ
    -0.53
    VIDIA
    -0.53
    POSITIVE LOGITS
     minus
    0.97
     versus
    0.89
     vs
    0.86
     ->
    0.82
     âĨĴ
    0.76
     evolves
    0.74
     meets
    0.72
     divided
    0.72
     plus
    0.71
     -->
    0.71
    Activations Density 0.752%

    No Known Activations