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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. 1-RES-JB
    11. 22846
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    Explanations

    words related to subsequent or following events

    oai_token-act-pair · gpt-3.5-turbo

    terms related to events that happen after a significant occurrence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    headed
    -0.81
    tic
    -0.80
    rez
    -0.77
    hood
    -0.75
    BIL
    -0.75
    ifiable
    -0.75
    ention
    -0.75
    tics
    -0.75
    sen
    -0.74
    classified
    -0.74
    POSITIVE LOGITS
     ensuing
    1.00
    ĸļ
    0.91
     din
    0.88
     pandemonium
    0.78
     chorus
    0.77
     Jagu
    0.74
     credits
    0.72
     chaos
    0.72
     uproar
    0.71
     confusion
    0.70
    Activations Density 0.011%

    No Known Activations