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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. 4-RES-JB
    6. 5743
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    Explanations

    references to the term "Te" in a variety of contexts

    oai_token-act-pair · gpt-3.5-turbo

    the occurrences of the term "Te" in various contexts

    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
    ãģį
    -0.70
    ãĥ¼ãĥĨ
    -0.70
     Hawks
    -0.69
    ItemTracker
    -0.68
    ividual
    -0.68
    etheless
    -0.67
    iasis
    -0.66
     footing
    -0.66
    espie
    -0.65
    éĹĺ
    -0.64
    POSITIVE LOGITS
    achable
    1.32
    acher
    1.13
    aching
    1.13
    achers
    1.08
    lem
    1.06
    levision
    1.06
    arers
    1.03
    brate
    1.03
    lev
    1.01
    legram
    1.01
    Activations Density 0.013%

    No Known Activations