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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. 3675
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    Explanations

    occurrences of the word "acher" with varying intensities

    oai_token-act-pair · gpt-3.5-turbo

    words related to teachers and educators

    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
    erest
    -0.72
    pty
    -0.70
    umbn
    -0.66
    ourced
    -0.65
     Carbuncle
    -0.64
     extradition
    -0.64
    early
    -0.63
     Mayo
    -0.62
     bowel
    -0.62
     customary
    -0.62
    POSITIVE LOGITS
    acher
    0.89
    jee
    0.89
    ãĤ·ãĥ£
    0.79
    door
    0.73
    otle
    0.70
    æł
    0.69
    aven
    0.68
    berger
    0.68
    Apps
    0.64
    ãĤ·
    0.64
    Activations Density 0.007%

    No Known Activations