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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. 6-RES-JB
    6. 22977
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    Explanations

    phrases instructing or informing the user to take specific actions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "you" in various contexts

    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
     Aberdeen
    -0.74
     Canaver
    -0.71
     Aber
    -0.65
    atur
    -0.65
     Chap
    -0.62
     Cabin
    -0.62
    enges
    -0.62
     Kang
    -0.62
     Mane
    -0.62
     Defenders
    -0.61
    POSITIVE LOGITS
    're
    1.37
    've
    1.20
    'll
    1.16
    'd
    0.92
     may
    0.89
     can
    0.86
    RS
    0.85
     cannot
    0.83
     MUST
    0.80
     know
    0.78
    Activations Density 0.060%

    No Known Activations