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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 3-RES-JB
    6. 3585
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    INDEX
    Explanations

    phrases related to modifications or attachments to objects

    oai_token-act-pair · gpt-3.5-turbo

    terms associated with the process of restoration or assembly

    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
    atory
    -0.78
    umi
    -0.76
    ens
    -0.76
    quin
    -0.76
    ula
    -0.75
    any
    -0.73
    una
    -0.71
    ways
    -0.71
    thal
    -0.71
    abet
    -0.70
    POSITIVE LOGITS
    astered
    1.07
    escription
    0.93
     millenn
    0.84
     teasp
    0.84
    PDATE
    0.79
    CLASSIFIED
    0.79
     dotted
    0.79
    azeera
    0.78
     carbohyd
    0.77
    DeliveryDate
    0.77
    Activations Density 0.042%

    No Known Activations