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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. 18599
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    Explanations

    phrases related to personal development and learning

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating assistance or support in decision-making or situations

    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
    Border
    -0.77
    QB
    -0.70
    ãĥĩ
    -0.70
    ãĥĺ
    -0.68
    Aust
    -0.67
     Nirvana
    -0.66
    ashed
    -0.66
    æ°
    -0.65
    Reward
    -0.65
    Road
    -0.64
    POSITIVE LOGITS
     nonetheless
    1.51
     nevertheless
    1.45
     certainly
    1.08
     anecd
    0.87
     definitely
    0.86
     sure
    0.83
     surely
    0.82
     suggestive
    0.81
     indirectly
    0.79
     implied
    0.78
    Activations Density 0.461%

    No Known Activations