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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 9778
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    Explanations

    phrases related to locker rooms

    oai_token-act-pair · gpt-3.5-turbo

    mentions of locker rooms

    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
     autop
    -0.73
     Nun
    -0.71
    OD
    -0.71
     Planes
    -0.70
     skim
    -0.66
    ³³³³³³³³
    -0.64
    etheless
    -0.61
    è¦ļéĨĴ
    -0.59
     Thou
    -0.59
     redistribution
    -0.58
    POSITIVE LOGITS
    room
    0.93
    lain
    0.86
     doors
    0.84
    atics
    0.83
    mma
    0.79
     attendants
    0.78
    robe
    0.77
    bell
    0.76
    untled
    0.75
    bies
    0.74
    Activations Density 0.047%

    No Known Activations