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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. 24510
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    Explanations

    personal pronouns followed by verbs

    oai_token-act-pair · gpt-3.5-turbo

    the repetition of the word "too"

    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
    inators
    -0.73
    estamp
    -0.72
    #$
    -0.63
    termin
    -0.63
    ribut
    -0.60
    inarily
    -0.60
    è¦ļéĨĴ
    -0.59
    Rus
    -0.58
    farious
    -0.58
     Idlib
    -0.57
    POSITIVE LOGITS
    viation
    0.68
    nder
    0.67
     busy
    0.61
     beware
    0.61
    ille
    0.61
    ele
    0.60
    urden
    0.60
    oman
    0.60
    eper
    0.60
    ahn
    0.59
    Activations Density 0.028%

    No Known Activations