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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. 3-RES-JB
    11. 24524
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    Explanations

    words related to irrigation systems

    oai_token-act-pair · gpt-3.5-turbo

    terms related to irrigation and water flow

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ified
    -0.89
    eto
    -0.84
    bourg
    -0.82
    uin
    -0.80
    oken
    -0.79
    sav
    -0.79
    ifi
    -0.78
    onge
    -0.77
    ify
    -0.77
    seeing
    -0.76
    POSITIVE LOGITS
     irrigation
    1.05
     irrig
    0.97
     drip
    0.96
     dab
    0.83
    PDATE
    0.82
     dipping
    0.79
     clamp
    0.79
    rique
    0.78
     hose
    0.75
     flared
    0.75
    Activations Density 0.025%

    No Known Activations