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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. 24446
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    INDEX
    Explanations

    words related to negative actions or characteristics

    oai_token-act-pair · gpt-3.5-turbo

    expressions of astonishment or awe

    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
    ãĥķãĤ©
    -0.76
     Gemini
    -0.74
    å§«
    -0.70
     Feld
    -0.67
     Luxem
    -0.67
    ãĥ¼ãĥĨãĤ£
    -0.67
    xual
    -0.66
     Schl
    -0.65
    士
    -0.65
    ãĤ¼
    -0.64
    POSITIVE LOGITS
    akening
    1.47
    akens
    1.31
    kward
    1.22
    ashington
    1.06
    atche
    1.05
    adesh
    1.02
    aii
    1.01
    oln
    0.98
    yers
    0.96
    atson
    0.95
    Activations Density 0.010%

    No Known Activations