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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. 7-RES-JB
    11. 17930
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    Explanations

    phrases associated with starting or initiating events

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to the commencement of events or activities

    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
    olog
    -0.74
    é¾įå
    -0.69
     prevailed
    -0.67
     prevail
    -0.64
    obi
    -0.62
    mates
    -0.61
    avering
    -0.60
    chn
    -0.58
    lu
    -0.58
     manipulated
    -0.56
    POSITIVE LOGITS
    stage
    0.85
    uberty
    0.81
     hostilities
    0.80
     festivities
    0.77
     puberty
    0.77
     ceremonies
    0.72
    nings
    0.72
    odcast
    0.72
     anew
    0.71
     celebrations
    0.71
    Activations Density 0.048%

    No Known Activations