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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. 1710
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    Explanations

    sequences that include the token "Te" followed by various combinations of other letters

    oai_token-act-pair · gpt-3.5-turbo

    references to the term "Te" and its variations in the context of a topic or entity

    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
    ãģį
    -0.71
    etheless
    -0.71
     diapers
    -0.68
     captcha
    -0.66
     footing
    -0.65
     Hawks
    -0.65
    IFIED
    -0.64
    éĹĺ
    -0.64
     PRESS
    -0.64
     Jenner
    -0.64
    POSITIVE LOGITS
    achable
    1.36
    aching
    1.21
    acher
    1.13
    levision
    1.11
    achers
    1.08
    lev
    1.06
    aches
    1.06
    eming
    1.05
    arers
    1.03
    quila
    1.02
    Activations Density 0.016%

    No Known Activations