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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. 9-RES-JB
    11. 3692
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    Explanations

    the letters "th" occurring in various contexts within the text

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the substring "th" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     sterling
    -0.70
     rake
    -0.64
     Clash
    -0.63
     cubes
    -0.62
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.62
     Tsukuyomi
    -0.60
     affairs
    -0.60
     Kafka
    -0.59
     portfolio
    -0.58
     neutral
    -0.57
    POSITIVE LOGITS
    ulhu
    1.43
    ttp
    1.38
    orne
    1.28
    ousand
    1.12
    umbnail
    1.10
    ousands
    1.08
    istle
    1.06
    irty
    1.06
    orns
    1.05
    ieves
    1.04
    Activations Density 0.040%

    No Known Activations