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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 9160
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    Explanations

    terms related to comparisons or contrasts

    oai_token-act-pair · gpt-3.5-turbo

    phrases contrasting different viewpoints or sides of an argument

    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
    neau
    -0.79
    Blocks
    -0.73
     ILCS
    -0.69
    ental
    -0.68
     ga
    -0.66
    iper
    -0.66
    chairs
    -0.66
    Kings
    -0.65
     Pens
    -0.65
    nas
    -0.64
    POSITIVE LOGITS
     cynicism
    0.71
    iosyncr
    0.68
     secondly
    0.68
     implication
    0.67
     importantly
    0.66
     alternatively
    0.65
    ifact
    0.64
    oliath
    0.64
     antioxid
    0.62
     reck
    0.62
    Activations Density 0.207%

    No Known Activations