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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. 13141
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    Explanations

    phrases related to lifting or stealing objects

    oai_token-act-pair · gpt-3.5-turbo

    words related to lifting and theft activities

    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
    omes
    -0.77
    ript
    -0.63
    alist
    -0.62
    llah
    -0.62
     Lara
    -0.60
    Interstitial
    -0.60
     answ
    -0.59
    vous
    -0.59
    ¯¯
    -0.58
    GE
    -0.58
    POSITIVE LOGITS
    lift
    1.21
    ĸļ
    0.90
    lifting
    0.90
    oppers
    0.85
    IFT
    0.83
    ifter
    0.82
    ernel
    0.81
    duty
    0.80
    icka
    0.78
    ansen
    0.75
    Activations Density 0.033%

    No Known Activations