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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. 5-RES-JB
    6. 24040
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    INDEX
    Explanations

    words related to ideas, thoughts, and feelings

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to validation and insight

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    equ
    -0.51
    ©¶æ
    -0.49
    interrupted
    -0.42
    appropriately
    -0.40
     Powder
    -0.40
    eb
    -0.39
    inka
    -0.38
     Jav
    -0.37
     Glory
    -0.37
     equivalents
    -0.37
    POSITIVE LOGITS
    byss
    0.56
    PsyNetMessage
    0.54
    Merit
    0.47
    IONS
    0.46
     showc
    0.45
    ioch
    0.44
     regarding
    0.43
    oried
    0.43
     âĢº
    0.43
    gae
    0.42
    Activations Density 1.072%

    No Known Activations