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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. 5562
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    INDEX
    Explanations
    No Explanations Found
    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
    sbm
    -0.77
    Rush
    -0.77
    interstitial
    -0.76
    EStream
    -0.72
    NetMessage
    -0.68
    Fresh
    -0.67
    catentry
    -0.67
    Magn
    -0.66
     Flavoring
    -0.66
     guiActiveUnfocused
    -0.66
    POSITIVE LOGITS
    ©¶æ
    0.68
     Pv
    0.68
    nec
    0.68
     Vaughan
    0.66
     Mub
    0.65
     Rohing
    0.62
     eleph
    0.60
     Anthem
    0.60
     tiss
    0.60
     Choi
    0.59
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.