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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. 24266
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    Explanations

    words related to sacral or sacrificial contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to sacrificial themes or concepts

    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
     Cheong
    -0.80
    è¦ļéĨĴ
    -0.68
    agher
    -0.68
    ãĥī
    -0.65
     Clarkson
    -0.64
    ously
    -0.64
     Pebble
    -0.64
    hower
    -0.64
    backer
    -0.63
     Turk
    -0.63
    POSITIVE LOGITS
    ificial
    1.19
    rament
    1.10
    het
    1.03
    char
    1.01
    rifice
    0.99
    ram
    0.96
    rum
    0.95
    ros
    0.95
     sac
    0.94
    roc
    0.93
    Activations Density 0.009%

    No Known Activations