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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. 24055
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    Explanations

    phrases related to sprinkling and piping

    oai_token-act-pair · gpt-3.5-turbo

    references to watering systems and auditory actions

    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
    ãĥīãĥ©ãĤ´ãĥ³
    -0.76
     embarrassment
    -0.67
     Afric
    -0.66
     Bangkok
    -0.66
     Apart
    -0.65
    Focus
    -0.64
     Skydragon
    -0.64
     sickness
    -0.63
    crop
    -0.63
     Correspond
    -0.63
    POSITIVE LOGITS
    les
    0.98
    elines
    0.94
    ety
    0.92
    eries
    0.91
    rote
    0.87
    atory
    0.87
    bled
    0.86
    estone
    0.86
    alling
    0.86
    lest
    0.85
    Activations Density 0.012%

    No Known Activations