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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. 6652
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    Explanations

    phrases related to deal-breakers or specific items that can make or break a situation

    oai_token-act-pair · gpt-3.5-turbo

    terms related to "breakers" in various 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
    imar
    -0.83
    elled
    -0.76
    otta
    -0.74
    ories
    -0.72
    elling
    -0.72
    atile
    -0.69
    ivas
    -0.68
    ott
    -0.67
    iple
    -0.66
    lez
    -0.66
    POSITIVE LOGITS
    breakers
    0.86
    breaker
    0.85
    berries
    0.81
    é¾įå¥ij士
    0.79
    heads
    0.77
    xual
    0.75
    hole
    0.71
    pedia
    0.69
     breaker
    0.69
     Isles
    0.68
    Activations Density 0.028%

    No Known Activations