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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 23290
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    Explanations

    phrases related to specific names or locations

    oai_token-act-pair · gpt-3.5-turbo

    references to specific entities or characters, particularly in the context of names and titles

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     partName
    -0.76
     //[
    -0.75
    ãĥĩãĤ£
    -0.75
    Ingredients
    -0.68
     Apprentice
    -0.67
    ãĥĵ
    -0.67
    VIEW
    -0.66
    ãĥĢ
    -0.66
    FIELD
    -0.66
    ãĥīãĥ©ãĤ´ãĥ³
    -0.65
    POSITIVE LOGITS
    ulum
    1.05
    ules
    0.93
    atility
    0.93
    uble
    0.85
    ulate
    0.84
    ulated
    0.84
    ulates
    0.81
    pty
    0.80
    ulo
    0.80
    tc
    0.79
    Activations Density 0.050%

    No Known Activations