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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. 4-RES-JB
    11. 2118
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    Explanations

    words related to physical locations or directions

    oai_token-act-pair · gpt-3.5-turbo

    instances of actions, events, or quantities

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

    No Comments

    Negative Logits
    ONSORED
    -0.62
    enegger
    -0.61
    \\\\\\\\
    -0.59
    Quantity
    -0.53
    VALUE
    -0.52
    åī
    -0.52
    åĩ
    -0.51
    ãĥ¼ãĥĨ
    -0.51
    alion
    -0.50
    ãĤ±
    -0.49
    POSITIVE LOGITS
    ettings
    0.49
    hots
    0.47
     converge
    0.46
    natureconservancy
    0.46
    criptions
    0.46
    arnaev
    0.45
     backgrounds
    0.45
     alike
    0.44
     respective
    0.44
    peed
    0.44
    Activations Density 2.032%

    No Known Activations