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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. 2-RES-JB
    11. 2417
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    Explanations

    multiple instances of the word "relate" followed by a high activation value, possibly indicating a focus on identifying relationships or connections between different entities

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "relate" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iami
    -0.70
    amination
    -0.67
    prus
    -0.66
    ablishment
    -0.65
    ü
    -0.63
    ãĤ»
    -0.63
    arta
    -0.63
    ifter
    -0.63
    ulsion
    -0.62
    ãĥīãĥ©
    -0.62
    POSITIVE LOGITS
     relate
    1.00
    worldly
    0.83
    MpServer
    0.82
     challeng
    0.82
     ancest
    0.80
    yrinth
    0.77
     corrid
    0.77
     misunder
    0.77
     relates
    0.76
    ativity
    0.74
    Activations Density 0.008%

    No Known Activations