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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. 6129
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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
    BuyableInstoreAndOnline
    -0.73
    =]
    -0.73
    =~
    -0.72
    WARE
    -0.70
    sheet
    -0.66
    chnology
    -0.66
    ãĥ¼ãĥ³
    -0.65
    inally
    -0.65
    Streamer
    -0.65
    breaks
    -0.64
    POSITIVE LOGITS
    animous
    0.63
    xual
    0.62
     sidx
    0.60
     APPLIC
    0.58
    wich
    0.57
    ixels
    0.56
    assic
    0.56
     gaining
    0.55
    utenberg
    0.55
    iesta
    0.55
    Activations Density 0.000%

    No Known Activations

    This feature has no known activations.