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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. 6-RES-JB
    11. 9411
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    Explanations

    phrases related to unique characteristics or attributes of different elements

    oai_token-act-pair · gpt-3.5-turbo

    phrases that describe distinct entities or items, each having their own unique attributes or qualities

    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
    qus
    -0.69
    tics
    -0.68
    soDeliveryDate
    -0.67
     angered
    -0.67
    Alert
    -0.67
    haven
    -0.66
    Wolf
    -0.66
    didn
    -0.65
    metal
    -0.65
    rers
    -0.64
    POSITIVE LOGITS
     individually
    1.28
     separately
    1.03
     unique
    0.88
     respective
    0.87
     independently
    0.85
     imaginable
    0.85
     distinct
    0.85
     individual
    0.81
     uniquely
    0.80
     successive
    0.79
    Activations Density 0.314%

    No Known Activations